Christopher Leckie

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Fast Memory Efficient Local Outlier Detection in Data Streams

Mahsa Salehi, Christopher Leckie, James C. Bezdek, 2017, IEEE Transactions on Knowledge and Data Engineering.

Christopher Leckie, Alif Wahid, Chenfeng Vincent Zhou, 2011, Concurr. Comput. Pract. Exp..

Density Biased Sampling with Locality Sensitive Hashing for Outlier Detection

Qiang He, Kotagiri Ramamohanarao, Mahsa Salehi, 2018, WISE.

Estimating the number of hosts corresponding to an intrusion alert while preserving privacy

Christopher Leckie, Alif Wahid, Chenfeng Vincent Zhou, 2014, J. Comput. Syst. Sci..

OMBA: User-Guided Product Representations for Online Market Basket Analysis pdf

Christopher Leckie, Shanika Karunasekera, Amila Silva, 2020, ECML/PKDD.

Information sharing for distributed intrusion detection systems

Kotagiri Ramamohanarao, Christopher Leckie, Tao Peng, 2007, J. Netw. Comput. Appl..

Collaborative Detection of Fast Flux Phishing Domains

Christopher Leckie, Shanika Karunasekera, Chenfeng Vincent Zhou, 2009, J. Networks.

High resolution spatio-temporal monitoring of air pollutants using wireless sensor networks

Peng Zhang, Marimuthu Palaniswami, Christopher Leckie, 2014, 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

From Shared Subspaces to Shared Landmarks: A Robust Multi-Source Classification Approach

James Bailey, Vinh Nguyen, Kotagiri Ramamohanarao, 2017, AAAI.

RegHunter: Using Graph partitioning to discover regions of correlated spatio-temporal change in evolving graphsIntelligent Data Analysis.

James Bailey, Christopher Leckie, Jeffrey Chan, 2008 .

Adversarial Reinforcement Learning under Partial Observability in Software-Defined Networking pdf

Christopher Leckie, Tansu Alpcan, Benjamin I. P. Rubinstein, 2019, ArXiv.

Smart Sampling: A Novel Unsupervised Boosting Approach for Outlier Detection

Mahsa Salehi, Christopher Leckie, James C. Bezdek, 2016, Australasian Conference on Artificial Intelligence.

Improving the Quality of Explanations with Local Embedding Perturbations

James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, 2019, KDD.

Scalable Bottom-up Subspace Clustering using FP-Trees for High Dimensional Data

Christopher Leckie, Sutharshan Rajasegarar, Jianzhong Qi, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Action Recognition Using Space-Time Shape Difference Images

Christopher Leckie, Liang Wang, Hao Qu, 2010, 2010 20th International Conference on Pattern Recognition.

Training robust models using Random Projection

James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

R1STM: One-class Support Tensor Machine with Randomised Kernel

James Bailey, Vinh Nguyen, Kotagiri Ramamohanarao, 2016, SDM.

Discovering correlated spatio-temporal changes in evolving graphs

James Bailey, Christopher Leckie, Jeffrey Chan, 2007, Knowledge and Information Systems.

Robust Domain Generalisation by Enforcing Distribution Invariance

James Bailey, Vinh Nguyen, Kotagiri Ramamohanarao, 2016, IJCAI.

Security Games for Virtual Machine Allocation in Cloud Computing

Christopher Leckie, Tansu Alpcan, Jeffrey Chan, 2013, GameSec.

Unsupervised Anomaly Detection in Network Intrusion Detection Using Clusters

Christopher Leckie, Kingsly Leung, C. Leckie, 2005, ACSC.

Applications of Class-Conditional Conformal Predictor in Multi-class Classification

Christopher Leckie, Cheng Soon Ong, Fan Shi, 2013, 2013 12th International Conference on Machine Learning and Applications.

Linear system security - detection and correction of adversarial attacks in the noise-free case pdf

Iven M. Y. Mareels, Margreta Kuijper, Christopher Leckie, 2017, ArXiv.

Partitioning road networks using density peak graphs: Efficiency vs. accuracy

Hai Le Vu, Christopher Leckie, Chengfei Liu, 2017, Inf. Syst..

Car Racing Driver Distraction Detection Using Brain EEG

Mahsa Salehi, Christopher Leckie, Geoff Mackellar, 2015 .

Mining Labelled Tensors by Discovering both their Common and Discriminative Subspaces

James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, 2013, SDM.

An Online Unsupervised Dynamic Window Method to Track Repeating Patterns From Sensor Data.

Christopher Leckie, Lars Kulik, Masud Moshtaghi, 2020, IEEE transactions on cybernetics.

ciForager: Incrementally discovering regions of correlated change in evolving graphs

James Bailey, Christopher Leckie, Michael E. Houle, 2012, TKDD.

Graph Stream Mining Based Anomalous Event Analysis

Christopher Leckie, Sutharshan Rajasegarar, Lida Rashidi, 2018, PRICAI.

Moving shape dynamics: A signal processing perspective

Kotagiri Ramamohanarao, Christopher Leckie, Liang Wang, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Online Clustering of Multivariate Time-series

Christopher Leckie, James C. Bezdek, Masud Moshtaghi, 2016, SDM.

USTAR: Online Multimodal Embedding for Modeling User-Guided Spatiotemporal Activity

Christopher Leckie, Shanika Karunasekera, Amila Silva, 2019, 2019 IEEE International Conference on Big Data (Big Data).

A bi-ordering approach to linking gene expression with clinical annotations in gastric cancer

Christopher Leckie, Adam Kowalczyk, Fan Shi, 2010, BMC Bioinformatics.

A Pattern Tree Based Method for Mining Conditional Contrast Patterns of Multi-source Data

Li Li, Christopher Leckie, Sarah M. Erfani, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

Detecting reflector attacks by sharing beliefs

Kotagiri Ramamohanarao, Christopher Leckie, Tao Peng, 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

An adaptive elliptical anomaly detection model for wireless sensor networks

Christopher Leckie, Sutharshan Rajasegarar, Shanika Karunasekera, 2014, Comput. Networks.

Unsupervised online change point detection in high-dimensional time series

Kotagiri Ramamohanarao, Christopher Leckie, Flora D. Salim, 2019, Knowledge and Information Systems.

An efficient visual assessment of cluster tendency tool for large-scale time series data sets

Christopher Leckie, Sarah M. Erfani, Timothy B. Iredale, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Meta-analysis of gene expression microarrays with missing replicates

Christopher Leckie, Adam Kowalczyk, Gad Abraham, 2011, BMC Bioinformatics.

Discovering and Summarising Regions of Correlated Spatio-Temporal Change in Evolving Graphs

James Bailey, Christopher Leckie, Jeffrey Chan, 2006, Sixth IEEE International Conference on Data Mining - Workshops (ICDMW'06).

SpecVAT: Enhanced Visual Cluster Analysis

Kotagiri Ramamohanarao, Christopher Leckie, James C. Bezdek, 2008, 2008 Eighth IEEE International Conference on Data Mining.

AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows pdf

Christopher Leckie, Sarah Erfani, Hadi M. Dolatabadi, 2020, NeurIPS.

Divide and Learn: A Divide and Conquer Approach for Predict+Optimize pdf

Christopher Leckie, Peter J. Stuckey, Jeffrey Chan, 2020, ArXiv.

Invariant backpropagation: how to train a transformation-invariant neural network pdf

James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, 2015, ArXiv.

Big Data Driven Predictive Caching at the Wireless Edge

Christopher Leckie, Wenwen Li, Li Li, 2019, 2019 IEEE International Conference on Communications Workshops (ICC Workshops).

Comparative Analysis of HTTP Anomaly Detection Algorithms: DFA vs N-Grams

Li Lin, Christopher Leckie, Chenfeng Vincent Zhou, 2010, 2010 Fourth International Conference on Network and System Security.

Clustering elliptical anomalies in sensor networks

James M. Keller, Christopher Leckie, James C. Bezdek, 2010, International Conference on Fuzzy Systems.

Online drift correction in wireless sensor networks using spatio-temporal modeling

Marimuthu Palaniswami, Christopher Leckie, Subhash Challa, 2008, 2008 11th International Conference on Information Fusion.

Fast Memory Efficient Local Outlier Detection in Data Streams (Extended Abstract)

Mahsa Salehi, Christopher Leckie, James C. Bezdek, 2016, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).

Tensor Space Learning for Analyzing Activity Patterns from Video Sequences

Kotagiri Ramamohanarao, Christopher Leckie, James C. Bezdek, 2007, Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007).

Automatically Determining the Number of Clusters in Unlabeled Data Sets

Kotagiri Ramamohanarao, Christopher Leckie, James C. Bezdek, 2009, IEEE Transactions on Knowledge and Data Engineering.

Sensor attack correction for linear systems with known inputs

Christopher Leckie, Iven Mareels, Zhanghan Tang, 2018 .

On compressing weighted time-evolving graphs

James Bailey, Jian Pei, Kotagiri Ramamohanarao, 2012, CIKM.

Visualisation of power-law network topologies

Christopher Leckie, David Soen-Mun Chan, Khim Shiong Chua, 2003, The 11th IEEE International Conference on Networks, 2003. ICON2003..

Pedestrian behaviour analysis using the microsoft kinect

Christopher Leckie, Junying Chen, Sutharshan Rajasegarar, 2016, 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops).

Approximate clustering in very large relational data

Kotagiri Ramamohanarao, Christopher Leckie, James C. Bezdek, 2006, Int. J. Intell. Syst..

Dual clustering for categorization of action sequences

Christopher Leckie, Liang Wang, Joanna Cheng, 2008, 2008 19th International Conference on Pattern Recognition.

Action recognition via multi-feature fusion and Gaussian process classification

Christopher Leckie, Liang Wang, Hang Zhou, 2009, 2009 Workshop on Applications of Computer Vision (WACV).

FSR: feature set reduction for scalable and accurate multi-class cancer subtype classification based on copy number

Christopher Leckie, Adam Kowalczyk, Gerard Wong, 2012, Bioinform..

Trajectory Pattern Identification and Anomaly Detection of Pedestrian Flows Based on Visual Clustering

Li Li, Christopher Leckie, 2016, Intelligent Information Processing.

Embedding Partial Propagation Network for Fake News Early Detection

Christopher Leckie, Shanika Karunasekera, Amila Silva, 2020, CIKM.

Survey of network-based defense mechanisms countering the DoS and DDoS problems

Kotagiri Ramamohanarao, Christopher Leckie, Tao Peng, 2007, CSUR.

Bus travel time prediction with real-time traffic information

Christopher Leckie, Sutharshan Rajasegarar, Jeffrey Chan, 2019, Transportation Research Part C: Emerging Technologies.

Assessing network energy consumption of mobile applications

Christopher Leckie, Wenwen Li, Chien Aun Chan, 2015, IEEE Communications Magazine.

Distributed Detection of Zero-Day Network Traffic Flows

Jun Zhang, Christopher Leckie, Sutharshan Rajasegarar, 2017, AusDM.

An Embedding Scheme for Detecting Anomalous Block Structured Graphs

Christopher Leckie, Sutharshan Rajasegarar, Lida Rashidi, 2015, PAKDD.

Large-scale strategic games and adversarial machine learning

Christopher Leckie, Tansu Alpcan, Benjamin I. P. Rubinstein, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Online cluster validity indices for performance monitoring of streaming data clustering

James Bailey, Christopher Leckie, James C. Bezdek, 2018, Int. J. Intell. Syst..

Image Constrained Blockmodelling: A Constraint Programming Approach

James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, 2018, SDM.

Paced TCP gives higher utilization with no buffers than with small buffers

Christopher Leckie, Rodney S. Tucker, Goutam Das, 2007 .

METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams

Christopher Leckie, Shanika Karunasekera, Amila Silva, 2020, CIKM.

LN-SNE: Log-Normal Distributed Stochastic Neighbor Embedding for Anomaly Detection

Christopher Leckie, James C. Bezdek, Shanika Karunasekera, 2020, IEEE Transactions on Knowledge and Data Engineering.

Ellipsoidal neighbourhood outlier factor for distributed anomaly detection in resource constrained networks

Marimuthu Palaniswami, Muhammad Ali Imran, Christopher Leckie, 2014, Pattern Recognit..

Deep Multi-sphere Support Vector Data Description

Christopher Leckie, Zahra Ghafoori, 2020, SDM.

Semi-supervised Blockmodelling with Pairwise Guidance

James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, 2018, ECML/PKDD.

Erratum: LICRE: unsupervised feature correlation reduction for lipidomics (Bioinformatics (2014) 30:19 (2832-2833) DOI: 10.1093/bioinformatics/btu381)

Christopher Leckie, Jeffrey Chan, Gerard Wong, 2015 .

CPU-based DoS attacks against SIP servers

Christopher Leckie, Ming Luo, Tao Peng, 2008, NOMS 2008 - 2008 IEEE Network Operations and Management Symposium.

Dynamic Programming for Predict+Optimise

Kotagiri Ramamohanarao, Christopher Leckie, Peter J. Stuckey, 2020, AAAI.

Multi-spatial Scale Event Detection from Geo-tagged Tweet Streams via Power-law Verification

Christopher Leckie, Shanika Karunasekera, Aaron Harwood, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Intrusion Detection for Routing Attacks in Sensor Networks

Marimuthu Palaniswami, Christopher Leckie, Chong Eik Loo, 2006, Int. J. Distributed Sens. Networks.

Pattern‐Based Feature Generation

James Bailey, Christopher Leckie, Yunzhe Jia, 2018 .

CESVM: Centered Hyperellipsoidal Support Vector Machine Based Anomaly Detection

Marimuthu Palaniswami, Christopher Leckie, Sutharshan Rajasegarar, 2008, 2008 IEEE International Conference on Communications.

Mining Generalised Emerging Patterns

James Bailey, Christopher Leckie, Xiaoyuan Qian, 2006, Australian Conference on Artificial Intelligence.

Urban Sensing for Anomalous Event Detection: - Distinguishing Between Legitimate Traffic Changes and Abnormal Traffic Variability

Kotagiri Ramamohanarao, Christopher Leckie, James C. Bezdek, 2018, ECML/PKDD.

Approximate pairwise clustering for large data sets via sampling plus extension

Kotagiri Ramamohanarao, Christopher Leckie, James C. Bezdek, 2011, Pattern Recognit..

LiftSmart: a monitoring and warning wearable for weight trainers

Christopher Leckie, Lars Kulik, Eduardo Velloso, 2019, UbiComp/ISWC Adjunct.

Echidna: Efficient Clustering of Hierarchical Data for Network Traffic Analysis

Christopher Leckie, Parampalli Udaya, Abdun Naser Mahmood, 2006, Networking.

An efficient hyperellipsoidal clustering algorithm for resource-constrained environments

Christopher Leckie, Sutharshan Rajasegarar, Shanika Karunasekera, 2011, Pattern Recognit..

Anomaly detection in non-stationary data: Ensemble based self-adaptive OCSVM

Christopher Leckie, Sutharshan Rajasegarar, Shanika Karunasekera, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

Tensor Space Learning for Analyzing Activity Patterns from Video Sequences

Christopher Leckie, Xiaozhe Wang, Ramamohanarao Kotagiri, 2007 .

TRIBAC: Discovering Interpretable Clusters and Latent Structures in Graphs

James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, 2014, 2014 IEEE International Conference on Data Mining.

Routing and wavelength assignment over multi-fibre optical networks with no wavelength conversion

Hai Le Vu, Christopher Leckie, Moshe Zukerman, 2003 .

Unsupervised Adversarial Anomaly Detection using One-Class Support Vector Machines

Christopher Leckie, Tansu Alpcan, Sarah M. Erfani, 2018 .

Spatio-temporal modelling-based drift-aware wireless sensor networks

Marimuthu Palaniswami, Christopher Leckie, Subhash Challa, 2011, IET Wirel. Sens. Syst..

Discovering latent blockmodels in sparse and noisy graphs using non-negative matrix factorisation

James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, 2013, CIKM.

The Curse of Ease of Access to the Internet

Kotagiri Ramamohanarao, Christopher Leckie, Kapil Kumar Gupta, 2007, ICISS.

Black-box Adversarial Example Generation with Normalizing Flows pdf

Christopher Leckie, Sarah Erfani, Hadi M. Dolatabadi, 2020, ArXiv.

Control planes for the optical internet

Hai Le Vu, Christopher Leckie, 2002 .

An Evaluation of Criteria for Measuring the Quality of Clusters

Christopher Leckie, Bhavani Raskutti, Bhavani Raskutti, 1999, IJCAI.

Elliptical anomalies in wireless sensor networks

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2009, TOSN.

Waveband grooming and IP aggregation in optical networks

Christopher Leckie, Rajendran Parthiban, Rodney S. Tucker, 2003 .

Spatial Partitioning of Large Urban Road Networks

Hai Le Vu, Christopher Leckie, Chengfei Liu, 2014, EDBT.

An efficient approach to detecting concept-evolution in network data streams

Christopher Leckie, Sutharshan Rajasegarar, Sarah M. Erfani, 2011, 2011 Australasian Telecommunication Networks and Applications Conference (ATNAC).

Graph Neural Networks with Continual Learning for Fake News Detection from Social Media pdf

Yi Han, Christopher Leckie, Shanika Karunasekera, 2020, ArXiv.

A time decoupling approach for studying forum dynamics

James Bailey, Christopher Leckie, Conor Hayes, 2012, World Wide Web.

A scalable sampling scheme for clustering in network traffic analysis

Christopher Leckie, Parampalli Udaya, Abdun Naser Mahmood, 2007, InfoScale '07.

Evaluation of Centralised vs Distributed Collaborative Intrusion Detection Systems in Multi-Access Edge Computing

Christopher Leckie, Chien Aun Chan, C. A. Chan, 2020, 2020 IFIP Networking Conference (Networking).

Scalable Outlying-Inlying Aspects Discovery via Feature Ranking

James Bailey, Jian Pei, Kotagiri Ramamohanarao, 2015, PAKDD.

Defending Distributed Classifiers Against Data Poisoning Attacks pdf

Christopher Leckie, Tansu Alpcan, Sarah M. Erfani, 2020, ArXiv.

An evaluation technique for network intrusion detection systems

Christopher Leckie, Dana Zhang, C. Leckie, 2006, InfoScale '06.

Measures for clustering and anomaly detection in sets of higher dimensional ellipsoids

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

A probabilistic approach to detecting network scans

Kotagiri Ramamohanarao, Christopher Leckie, K. Ramamohanarao, 2002, NOMS 2002. IEEE/IFIP Network Operations and Management Symposium. ' Management Solutions for the New Communications World'(Cat. No.02CH37327).

Network traffic monitoring: Application to SCADA security

Jiankun Hu, Zahir Tari, Christopher Leckie, 2010 .

Unsupervised Parameter Estimation for One-Class Support Vector Machines

Christopher Leckie, Sutharshan Rajasegarar, Shanika Karunasekera, 2016, PAKDD.

Estimating Generalized Dunn's Cluster Validity Indices for Big Data

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Adaptive Clustering for Network Intrusion Detection

Christopher Leckie, Joshua Oldmeadow, Siddarth Ravinutala, 2004, PAKDD.

Combining Real and Virtual Graphs to Enhance Data Clustering

Kotagiri Ramamohanarao, Christopher Leckie, Liang Wang, 2010, 2010 20th International Conference on Pattern Recognition.

Detecting Distributed Denial of Service Attacks by Sharing Distributed Beliefs

Kotagiri Ramamohanarao, Christopher Leckie, Tao Peng, 2003, ACISP.

An interactive fault diagnosis expert system for a helpdesk application

Christopher Leckie, Ming Zhao, Chris Rowles, 1996 .

An improved scheme for privacy-preserving collaborative anomaly detection

Marimuthu Palaniswami, Lingjuan Lyu, Yee Wei Law, 2016, 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops).

Sensor data boundary estimation for anomaly detection in wireless sensor networks

Christopher Leckie, Sutharshan Rajasegarar, Shanika Karunasekera, 2010, The 7th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (IEEE MASS 2010).

Clustering ellipses for anomaly detection

Marimuthu Palaniswami, James M. Keller, Christopher Leckie, 2011, Pattern Recognit..

Clustering and visualization of fuzzy communities in social networks

Marimuthu Palaniswami, James Bailey, Kotagiri Ramamohanarao, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Profiling spatial and temporal behaviour in sensor networks: A case study in energy monitoring

Marimuthu Palaniswami, Muhammad Ali Imran, Christopher Leckie, 2014, 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

Improved Classification of Known and Unknown Network Traffic Flows Using Semi-supervised Machine Learning

Christopher Leckie, Sarah M. Erfani, Timothy Glennan, 2016, ACISP.

Anomaly detection in wireless sensor networks

Marimuthu Palaniswami, Christopher Leckie, Sutharshan Rajasegarar, 2008, IEEE Wireless Communications.

Learning to Share Distributed Probabilistic Beliefs

Kotagiri Ramamohanarao, Christopher Leckie, 2002, ICML.

Traffic forecasting in complex urban networks: Leveraging big data and machine learning

James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, 2015, 2015 IEEE International Conference on Big Data (Big Data).

Detecting Location-Centric Communities Using Social-Spatial Links with Temporal Constraints

Christopher Leckie, Kwan Hui Lim, Shanika Karunasekera, 2015, ECIR.

Online Cluster Validity Indices for Streaming Data pdf

James Bailey, Christopher Leckie, James C. Bezdek, 2018, ArXiv.

An Efficient Adversarial Learning Strategy for Constructing Robust Classification Boundaries

James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, 2012, Australasian Conference on Artificial Intelligence.

Linear system security - Detection and correction of adversarial sensor attacks in the noise-free case

Iven M. Y. Mareels, Margreta Kuijper, Christopher Leckie, 2019, Autom..

Adapting Spectral Co-clustering to Documents and Terms Using Latent Semantic Analysis

Kotagiri Ramamohanarao, Christopher Leckie, James C. Bezdek, 2009, Australasian Conference on Artificial Intelligence.

Change Point Detection for Streaming High-Dimensional Time Series

Kotagiri Ramamohanarao, Christopher Leckie, Masoomeh Zameni, 2019, DASFAA.

Improving Scalability of Contrast Pattern Mining for Network Traffic Using Closed Patterns pdf

Christopher Leckie, Sarah M. Erfani, Elaheh Alipour Chavary, 2020, ArXiv.

Network Traffic Analysis and SCADA Security

Jiankun Hu, Zahir Tari, Christopher Leckie, 2010, Handbook of Information and Communication Security.

Hitlist Worm Detection using Source IP Address History.

Christopher Leckie, Tao Peng, Jeffrey Chan, 2006 .

Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning

Kotagiri Ramamohanarao, Christopher Leckie, James C. Bezdek, 2010, IEEE Transactions on Knowledge and Data Engineering.

Detection of Anomalous Communications with SDRs and Unsupervised Adversarial Learning

Christopher Leckie, Tansu Alpcan, Sarah M. Erfani, 2018, 2018 IEEE 43rd Conference on Local Computer Networks (LCN).

Inductive Learning of Search Control Rules for Planning

Ingrid Zukerman, Christopher Leckie, Ingrid Zukerman, 1998, Artif. Intell..

Feasibility study of ASON-GMPLS test-bed

Christopher Leckie, An Vu Tran, Hai Le Vu, 2003 .

MRMondrian: Scalable Multidimensional Anonymisation for Big Data Privacy Preservation

Kotagiri Ramamohanarao, Christopher Leckie, Xuyun Zhang, 2017, IEEE Transactions on Big Data.

Discovering outlying aspects in large datasets

James Bailey, Jian Pei, Kotagiri Ramamohanarao, 2016, Data Mining and Knowledge Discovery.

Analysis and enhancement of on-demand routing in wireless sensor networks

Kotagiri Ramamohanarao, Christopher Leckie, Daniel Peter Dallas, 2008, PM2HW2N '08.

Improved Gaussian process classification via feature space rotation

Christopher Leckie, Liang Wang, C. Leckie, 2012, Neurocomputing.

Attack correction for noise-free linear systems subject to sensor attacks

Christopher Leckie, Iven Mareels, Zhanghan Tang, 2018 .

Privacy-Preserving Collaborative Anomaly Detection for Participatory Sensing

Marimuthu Palaniswami, Yee Wei Law, Christopher Leckie, 2014, PAKDD.

Analysing Virtual Machine Usage in Cloud Computing

Christopher Leckie, Jeffrey Chan, Yi Han, 2013, 2013 IEEE Ninth World Congress on Services.

Hop-Count Monitoring: Detecting Sinkhole Attacks in Wireless Sensor Networks

Kotagiri Ramamohanarao, Christopher Leckie, Daniel Peter Dallas, 2007, 2007 15th IEEE International Conference on Networks.

A Soft Modularity Function For Detecting Fuzzy Communities in Social Networks

Marimuthu Palaniswami, Kotagiri Ramamohanarao, Christopher Leckie, 2013, IEEE Transactions on Fuzzy Systems.

Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency

Christopher Leckie, Kwan Hui Lim, Shanika Karunasekera, 2018, Knowledge and Information Systems.

LICRE: unsupervised feature correlation reduction for lipidomics

Christopher Leckie, Jeffrey Chan, Gerard Wong, 2014, Bioinform..

MurTree: Optimal Classification Trees via Dynamic Programming and Search pdf

James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, 2020, ArXiv.

Personalized Tour Recommendation Based on User Interests and Points of Interest Visit Durations

Christopher Leckie, Kwan Hui Lim, Shanika Karunasekera, 2015, IJCAI.

Efficient query processing on road traffic network

Christopher Leckie, Masud Moshtaghi, Masoomeh Zameni, 2016, 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops).

Efficient visualization of large routing topologies

Christopher Leckie, Ajeet Parhar, Gerard Wong, 2004, Int. J. Netw. Manag..

Centered Hyperspherical and Hyperellipsoidal One-Class Support Vector Machines for Anomaly Detection in Sensor Networks

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2010, IEEE Transactions on Information Forensics and Security.

Detecting data anomalies in wireless sensor networks

Marimuthu Palaniswami, Christopher Leckie, Sutharshan Rajasegarar, 2010 .

Using graph partitioning to discover regions of correlated spatio-temporal change in evolving graphs

James Bailey, Christopher Leckie, Jeffrey Chan, 2009, Intell. Data Anal..

A Relevance Weighted Ensemble Model for Anomaly Detection in Switching Data Streams

Mahsa Salehi, Christopher Leckie, Tharshan Vaithianathan, 2014, PAKDD.

Adaptive Cluster Tendency Visualization and Anomaly Detection for Streaming Data

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2016, ACM Trans. Knowl. Discov. Data.

Relieving hot spots in collaborative intrusion detection systems during worm outbreaks

Christopher Leckie, Shanika Karunasekera, Chenfeng Vincent Zhou, 2008, NOMS 2008 - 2008 IEEE Network Operations and Management Symposium.

Cost and scalability in all-optical networks : a case study II

Hai Le Vu, Christopher Leckie, Andrew Zalesky, 2003 .

Virtual machine allocation policies against co-resident attacks in cloud computing

Yi Han, Christopher Leckie, Tansu Alpcan, 2014, 2014 IEEE International Conference on Communications (ICC).

Big Data Analytics-Enhanced Cloud Computing: Challenges, Architectural Elements, and Future Directions

Rajkumar Buyya, Kotagiri Ramamohanarao, Christopher Leckie, 2015, 2015 IEEE 21st International Conference on Parallel and Distributed Systems (ICPADS).

Evaluating Spectral Unmixing Quality in the Absence of Reference Objects for Time Lapse Fluorescence Microscopy

Christopher Leckie, Philip D. Hodgkin, Liyan Liu, 2014, 2014 IEEE International Conference on Data Mining Workshop.

Invertible Generative Modeling using Linear Rational Splines

Christopher Leckie, Sarah M. Erfani, Hadi M. Dolatabadi, 2020, AISTATS.

Creating Concise Summaries of Network Traffic Using Hierarchical Clustering

Christopher Leckie, Parampalli Udaya, Abdun Naser Mahmood, 2010 .

Visualization of clusters in very large rectangular dissimilarity data

Christopher Leckie, James C. Bezdek, Laurence Anthony F. Park, 2000, 2009 4th International Conference on Autonomous Robots and Agents.

Power-law Verification for Event Detection at Multi-spatial Scales from Geo-tagged Tweet Streams pdf

Christopher Leckie, Yi Han, Shanika Karunasekera, 2019, ArXiv.

Elliptical summary randomisation for sensor-based human activity recognition

James Bailey, Christopher Leckie, Mahsa Baktashmotlagh, 2016, IJCAI 2016.

Online K-Means Clustering with Lightweight Coresets

Christopher Leckie, Zahra Ghafoori, Jia Shun Low, 2019, Australasian Conference on Artificial Intelligence.

Anomaly detection for Internet worms

Christopher Leckie, Yousof Al-Hammadi, 2005, 2005 9th IFIP/IEEE International Symposium on Integrated Network Management, 2005. IM 2005..

An Inductive Approach to Learning Search Control Rules for Planning

Ingrid Zukerman, Christopher Leckie, 1993, IJCAI.

Distributed Generative Adversarial Networks for Anomaly Detection

Christopher Leckie, Tansu Alpcan, Andrew C. Cullen, 2020, GameSec.

Support vector machines resilient against training data integrity attacks

Christopher Leckie, Tansu Alpcan, Sarah M. Erfani, 2019, Pattern Recognit..

Characterising the Evolution in Scanning Activity of Suspicious Hosts

Christopher Leckie, Alif Wahid, Chenfeng Vincent Zhou, 2009, 2009 Third International Conference on Network and System Security.

R1SVM: A Randomised Nonlinear Approach to Large-Scale Anomaly Detection

Christopher Leckie, Sutharshan Rajasegarar, Shanika Karunasekera, 2015, AAAI.

Anomalous Behavior Detection in Crowded Scenes Using Clustering and Spatio-Temporal Features

Marimuthu Palaniswami, Christopher Leckie, Sutharshan Rajasegarar, 2016, Intelligent Information Processing.

Approximate Spectral Clustering

Kotagiri Ramamohanarao, Christopher Leckie, James C. Bezdek, 2009, PAKDD.

Exploiting sequence similarity to validate the sensitivity of SNP arrays in detecting fine-scaled copy number variations

Christopher Leckie, Adam Kowalczyk, Izhak Haviv, 2010, Bioinform..

Privacy-preserving data aggregation in Participatory Sensing Networks

Christopher Leckie, Parampalli Udaya, Shanika Karunasekera, 2013, 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

Using trajectory features for upper limb action recognition

Christopher Leckie, Tharshan Vaithianathan, Xiaoting Wang, 2014, 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

A Hybrid Approach to Clustering in Big Data

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2016, IEEE Transactions on Cybernetics.

Pattern based anomalous user detection in cognitive radio networks

Marimuthu Palaniswami, Christopher Leckie, Sutharshan Rajasegarar, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Exploiting patterns to explain individual predictions

James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, 2019, Knowledge and Information Systems.

Protecting SIP server from CPU-based DoS attacks using history-based IP filtering

Kotagiri Ramamohanarao, Christopher Leckie, Chenfeng Vincent Zhou, 2009, IEEE Communications Letters.

A visual-numeric approach to clustering and anomaly detection for trajectory data

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2017, The Visual Computer.

Critical infrastructure protection: Resource efficient sampling to improve detection of less frequent patterns in network traffic

Jiankun Hu, Zahir Tari, Christopher Leckie, 2010, J. Netw. Comput. Appl..

Spatio-temporal estimation with Bayesian maximum entropy and compressive sensing in communication constrained networks

Marimuthu Palaniswami, Christopher Leckie, Sutharshan Rajasegarar, 2014, 2014 IEEE International Conference on Communications (ICC).

High-dimensional and large-scale anomaly detection using a linear one-class SVM with deep learning

Christopher Leckie, Sutharshan Rajasegarar, Shanika Karunasekera, 2016, Pattern Recognit..

An efficient filter for denial-of-service bandwidth attacks

Christopher Leckie, Samer Shami, Simon Ryan, 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

A framework for distributed data analysis for IoT

Christopher Leckie, Shanika Karunasekera, Masud Moshtaghi, 2016 .

Estimating the Number of Hosts Corresponding to an Address while Preserving Anonymity

Christopher Leckie, Alif Wahid, Chenfeng Vincent Zhou, 2012, NSS.

Fuzzy c-Shape: A new algorithm for clustering finite time series waveforms

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2016, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Towards Next Generation Touring: Personalized Group Tours

Christopher Leckie, Kwan Hui Lim, Shanika Karunasekera, 2016, ICAPS.

Defending Regression Learners Against Poisoning Attacks pdf

Christopher Leckie, Tansu Alpcan, Sarah M. Erfani, 2020, ArXiv.

Summarizing Significant Changes in Network Traffic Using Contrast Pattern Mining

Christopher Leckie, Sarah M. Erfani, Elaheh Alipour Chavary, 2017, CIKM.

Ranking cell tracking systems without manual validation

James Bailey, Christopher Leckie, Andrey Kan, 2015, Pattern Recognit. Lett..

Learning Search Control Rules for Planning: An Inductive Approach

Ingrid Zukerman, Christopher Leckie, 1991, ML.

LICRE: unsupervised feature correlation reduction for lipidomics

Christopher Leckie, Jeffrey Chan, Gerard Wong, 2015, Bioinform..

Improving Personalized Trip Recommendation by Avoiding Crowds

Christopher Leckie, Tharshan Vaithianathan, Kwan Hui Lim, 2016, CIKM.

Utilizing common substructures to speedup tensor factorization for mining dynamic graphs

James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, 2012, CIKM '12.

Encoding Actions via Quantized Vocabulary of Averaged Silhouettes

Christopher Leckie, Liang Wang, 2010, 2010 20th International Conference on Pattern Recognition.

Exponentially Weighted Ellipsoidal Model for Anomaly Detection

Christopher Leckie, James C. Bezdek, Masud Moshtaghi, 2017, Int. J. Intell. Syst..

A scalable sampling scheme for clustering in network traffic analysis

Christopher Leckie, Parampalli Udaya, Abdun Naser Mahmood, 2007 .

Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence

Christopher Leckie, Tansu Alpcan, Tamas Abraham, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Streaming analysis in wireless sensor networks

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2014, Wirel. Commun. Mob. Comput..

Seeding on Samples for Accelerating K-Means Clustering

Christopher Leckie, James C. Bezdek, Zahra Ghafoori, 2019, BDIOT 2019.

clusiVAT: A mixed visual/numerical clustering algorithm for big data

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2013, 2013 IEEE International Conference on Big Data.

Deep Learning Based Game-Theoretical Approach to Evade Jamming Attacks

Christopher Leckie, Tansu Alpcan, Sarah M. Erfani, 2018, GameSec.

Visual Assessment of Clustering Tendency for Incomplete Data

Marimuthu Palaniswami, James Bailey, Kotagiri Ramamohanarao, 2016, IEEE Transactions on Knowledge and Data Engineering.

Telecommunications energy and greenhouse gas emissions management for future network growth

Christopher Leckie, Ampalavanapillai Nirmalathas, Chien Aun Chan, 2016 .

Profiling Pedestrian Distribution and Anomaly Detection in a Dynamic Environment

Mahsa Salehi, Christopher Leckie, Sutharshan Rajasegarar, 2015, CIKM.

Local outlier detection for data streams in sensor networks: Revisiting the utility problem invited paper

Mahsa Salehi, Christopher Leckie, James C. Bezdek, 2015, 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

WavebandBurstSwitching -ANewApproach toNetworking

Christopher Leckie, Rajendran Parthiban, Andrew Zalesky, 2009 .

Crowd Activity Change Point Detection in Videos via Graph Stream Mining

Marimuthu Palaniswami, Christopher Leckie, Meng Yang, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

iVAT and aVAT: Enhanced Visual Analysis for Cluster Tendency Assessment

Kotagiri Ramamohanarao, Christopher Leckie, James C. Bezdek, 2010, PAKDD.

A Game Theoretical Approach to Defend Against Co-Resident Attacks in Cloud Computing: Preventing Co-Residence Using Semi-Supervised Learning

Christopher Leckie, Tansu Alpcan, Benjamin I. P. Rubinstein, 2016, IEEE Transactions on Information Forensics and Security.

Unsupervised and Active Learning Using Maximin-Based Anomaly Detection

Christopher Leckie, James C. Bezdek, Shanika Karunasekera, 2019, ECML/PKDD.

Toward the Starting Line: A Systems Engineering Approach to Strong AI pdf

Christopher Leckie, Tansu Alpcan, Sarah M. Erfani, 2017, ArXiv.

Incremental Elliptical Boundary Estimation for Anomaly Detection in Wireless Sensor Networks

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2011, 2011 IEEE 11th International Conference on Data Mining.

High-Resolution Monitoring of Atmospheric Pollutants Using a System of Low-Cost Sensors

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2014, IEEE Transactions on Geoscience and Remote Sensing.

Discovering the Impact of Urban Traffic Interventions Using Contrast Mining on Vehicle Trajectory Data

Christopher Leckie, Tharshan Vaithianathan, Xiaoting Wang, 2015, PAKDD.

Proactively Detecting Distributed Denial of Service Attacks Using Source IP Address Monitoring

Kotagiri Ramamohanarao, Christopher Leckie, Tao Peng, 2004, NETWORKING.

The Development of an Interactive Fault Diagnosis Expert System for Telecommunication Applications

Ming Zhao, Christopher Leckie, 1996, PRICAI.

Adjusted Probabilistic Packet Marking for IP Traceback

Kotagiri Ramamohanarao, Christopher Leckie, Tao Peng, 2002, NETWORKING.

A Query Based Approach for Mining Evolving Graphs

James Bailey, Christopher Leckie, Jeffrey Chan, 2009, AusDM.

Extension of iVAT to asymmetric matrices

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2013, 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Locating Faults in Tree-Structured Networks

Christopher Leckie, Michael Dale, 1997, IJCAI.

An Efficient Method for Anomaly Detection in Non-Stationary Data Streams

Mahsa Salehi, Christopher Leckie, Masud Moshtaghi, 2017, GLOBECOM 2017 - 2017 IEEE Global Communications Conference.

Evaluation of a Decentralized Architecture for Large Scale Collaborative Intrusion Detection

Christopher Leckie, Shanika Karunasekera, Chenfeng Vincent Zhou, 2007, 2007 10th IFIP/IEEE International Symposium on Integrated Network Management.

PersTour: A Personalized Tour Recommendation and Planning System

Christopher Leckie, Kwan Hui Lim, Xiaoting Wang, 2016, HT.

Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions

James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, 2019, IJCAI.

Defending Against Distributed Denial of Service Attacks Using Selective Pushback

Kotagiri Ramamohanarao, Christopher Leckie, Tao Peng, 2002 .

Policies for Sharing Distributed Probabilistic Beliefs

Kotagiri Ramamohanarao, Christopher Leckie, 2003, ACSC.

Tour recommendation and trip planning using location-based social media: a survey

Christopher Leckie, Kwan Hui Lim, Shanika Karunasekera, 2018, Knowledge and Information Systems.

Structure-Aware Distance Measures for Comparing Clusterings in Graphs

James Bailey, Jian Pei, Kotagiri Ramamohanarao, 2014, PAKDD.

Decentralized multi-dimensional alert correlation for collaborative intrusion detection

Christopher Leckie, Shanika Karunasekera, Chenfeng Vincent Zhou, 2009, J. Netw. Comput. Appl..

DP1SVM: A dynamic planar one-class support vector machine for Internet of Things environment

Marimuthu Palaniswami, Christopher Leckie, Alistair Shilton, 2015, 2015 International Conference on Recent Advances in Internet of Things (RIoT).

The Generalized C Index for Internal Fuzzy Cluster Validity

Thomas A. Runkler, Christopher Leckie, James C. Bezdek, 2016, IEEE Transactions on Fuzzy Systems.

Node Re-Ordering as a Means of Anomaly Detection in Time-Evolving Graphs

James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, 2016, ECML/PKDD.

Exploiting Traffic Localities for Efficient Flow State Lookup

Kotagiri Ramamohanarao, Christopher Leckie, Tao Peng, 2005, NETWORKING.

AIC and BIC based approaches for SVM parameter value estimation with RBF kernels

James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, 2012, ACML.

Personalized Itinerary Recommendation with Queuing Time Awareness

Christopher Leckie, Kwan Hui Lim, Shanika Karunasekera, 2017, SIGIR.

Efficient visualization of large routing topologies

Christopher Leckie, Ajeet Parhar, Gerard Wong, 2004 .

A survey of coordinated attacks and collaborative intrusion detection

Christopher Leckie, Shanika Karunasekera, Chenfeng Vincent Zhou, 2010, Comput. Secur..

Scalable fault tolerant image communication and storage grid

Christopher Leckie, David Slik, Mike Montour, 2003, SPIE Medical Imaging.

Characteristic-Based Descriptors for Motion Sequence Recognition

Kotagiri Ramamohanarao, Christopher Leckie, Liang Wang, 2008, PAKDD.

Online Clustering for Evolving Data Streams with Online Anomaly Detection

Mahsa Salehi, Christopher Leckie, Masud Moshtaghi, 2018, PAKDD.

Reinforcement Learning for Autonomous Defence in Software-Defined Networking pdf

Christopher Leckie, Tansu Alpcan, Benjamin I. P. Rubinstein, 2018, GameSec.

Measures for ranking cell trackers without manual validation

James Bailey, Christopher Leckie, Andrey Kan, 2013, Pattern Recognit..

Improving load forecasting based on deep learning and K-shape clustering

Marimuthu Palaniswami, Christopher Leckie, Sutharshan Rajasegarar, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Image Analysis Enhanced Event Detection from Geo-Tagged Tweet Streams

Yi Han, Christopher Leckie, Shanika Karunasekera, 2020, PAKDD.

Detection of Deception in the Mafia Party Game

James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, 2015, ICMI.

Output-Buffered AllOptical Packet Switch

Christopher Leckie, Rodney S. Tucker, Goutam Das, 2006 .

Applying Reinforcement Learning to Packet Scheduling in Routers

Christopher Leckie, Ken Lau, Herman L. Ferrá, 2003, IAAI.

Anomaly Detection in Environmental Monitoring Networks [Application Notes]

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2011, IEEE Computational Intelligence Magazine.

Fuzzy c-Means Algorithms for Very Large Data

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2012, IEEE Transactions on Fuzzy Systems.

Cluster-Based Crowd Movement Behavior Detection

Marimuthu Palaniswami, Christopher Leckie, Meng Yang, 2018, 2018 Digital Image Computing: Techniques and Applications (DICTA).

A Bayesian Classifier for Learning from Tensorial Data

James Bailey, Kotagiri Ramamohanarao, Fang Chen, 2013, ECML/PKDD.

LSHiForest: A Generic Framework for Fast Tree Isolation Based Ensemble Anomaly Analysis

Qiang He, Kotagiri Ramamohanarao, Christopher Leckie, 2017, 2017 IEEE 33rd International Conference on Data Engineering (ICDE).

Using Virtual Machine Allocation Policies to Defend against Co-Resident Attacks in Cloud Computing

Christopher Leckie, Tansu Alpcan, Jeffrey Chan, 2017, IEEE Transactions on Dependable and Secure Computing.

Approximate data mining in very large relational data

Kotagiri Ramamohanarao, Christopher Leckie, James C. Bezdek, 2006, ADC.

An Efficient Clustering Scheme to Exploit Hierarchical Data in Network Traffic Analysis

Christopher Leckie, Parampalli Udaya, Abdun Naser Mahmood, 2008, IEEE Transactions on Knowledge and Data Engineering.

Hyperspherical cluster based distributed anomaly detection in wireless sensor networks

Marimuthu Palaniswami, Christopher Leckie, Sutharshan Rajasegarar, 2014, J. Parallel Distributed Comput..

Traffic grooming in hybrid ring-star optical networks

Christopher Leckie, Rajendran Parthiban, Goutam Das, 2007 .

On the effectiveness of isolation‐based anomaly detection in cloud data centers

Rajkumar Buyya, Kotagiri Ramamohanarao, Christopher Leckie, 2017, Concurr. Comput. Pract. Exp..

Dealing with Inliers in Feature Vector Data

Marimuthu Palaniswami, Kotagiri Ramamohanarao, Christopher Leckie, 2018, Int. J. Uncertain. Fuzziness Knowl. Based Syst..

SeqiBloc: mining multi-time spanning blockmodels in dynamic graphs

James Bailey, Kotagiri Ramamohanarao, Christopher Leckie, 2012, KDD.

Network Energy Consumption Assessment of Conventional Mobile Services and Over-the-Top Instant Messaging Applications

Christopher Leckie, Wenwen Li, Ampalavanapillai Nirmalathas, 2016, IEEE Journal on Selected Areas in Communications.

Quarter Sphere Based Distributed Anomaly Detection in Wireless Sensor Networks

Marimuthu Palaniswami, Christopher Leckie, James C. Bezdek, 2007, 2007 IEEE International Conference on Communications.

A design automation system using explicit models of design

Christopher Leckie, C. D. Rowles, C. Rowles, 1988 .

Parking availability prediction for sensor-enabled car parks in smart cities

Christopher Leckie, Sutharshan Rajasegarar, Yanxu Zheng, 2015, 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

Protection from distributed denial of service attacks using history-based IP filtering

Kotagiri Ramamohanarao, Christopher Leckie, Tao Peng, 2003, IEEE International Conference on Communications, 2003. ICC '03..

Issues for optical routing

Hai Le Vu, Christopher Leckie, 2002 .

Knowledge Enhanced Multi-modal Fake News Detection pdf

Christopher Leckie, Shanika Karunasekera, Amila Silva, 2021, ArXiv.

Defending Support Vector Machines Against Data Poisoning Attacks

Christopher Leckie, Tansu Alpcan, Sarah M. Erfani, 2021, IEEE Transactions on Information Forensics and Security.

Mining Rare Recurring Events in Network Traffic using Second Order Contrast Patterns

Christopher Leckie, Sarah M. Erfani, Elaheh Alipour Chavary, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

$\ell_\infty$-Robustness and Beyond: Unleashing Efficient Adversarial Training

Christopher Leckie, Sarah Erfani, Hadi M. Dolatabadi, 2021 .