V. Thing

发表

IoT Security Function Distribution via DLT

S. Yeo, Le Su, D. Divakaran, 2020 .

DFRWS 2017 USA d Proceedings of the Seventeenth Annual DFRWS USA Time-of-recording estimation for audio recordings

Chien Eao Lee, Y. Zhang, V. Thing, 2022 .

Raising Fraud Awareness through Web Forums

V. Thing, 2014, ICDS 2014.

PowerNet: Neural Power Demand Forecasting in Smart Grid

Yongdong Wu, D. Mashima, Chang Xu, 2019, ArXiv.

PhilaeX: Explaining the Failure and Success of AI Models in Malware Detection

V. Thing, Zhi Lu, 2022, IoTBDS.

Low-Dimensional Bigram Analysis for Mobile Data Fragment Classification

Ying Zhang, Vrizlynn L. L. Thing, Lilei Zheng, 2017, Singapore Cyber-Security Conference.

A Hybrid Deep Learning Anomaly Detection Framework for Intrusion Detection

V. Thing, Zhi Lu, R. Kale, 2022, 2022 IEEE 8th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS).

Three Decades of Deception Techniques in Active Cyber Defense - Retrospect and Outlook

V. Thing, Li Zhang, 2021, Comput. Secur..

“How Does It Detect A Malicious App?” Explaining the Predictions of AI-based Malware Detector

V. Thing, Zhi Lu, 2021, 2022 IEEE 8th Intl Conference on Big Data Security on Cloud (BigDataSecurity), IEEE Intl Conference on High Performance and Smart Computing, (HPSC) and IEEE Intl Conference on Intelligent Data and Security (IDS).

Three Decades of Deception Techniques in Active Cyber Defense - Retrospect and Outlook

Vrizlynn L. L. Thing, Li Zhang, V. Thing, 2021, Comput. Secur..

PowerNet: Neural Power Demand Forecasting in Smart Grid pdf

Vrizlynn L. L. Thing, Yongdong Wu, Yao Cheng, 2019, 1904.11979.

SLIC: Self-Learning Intelligent Classifier for network traffic

Dinil Mon Divakaran, Yung Siang Liau, Vrizlynn L. L. Thing, 2015, Comput. Networks.

IEEE 802.11 Network Anomaly Detection and Attack Classification: A Deep Learning Approach

Vrizlynn L. L. Thing, V. Thing, 2017, 2017 IEEE Wireless Communications and Networking Conference (WCNC).

Adaptive response system for distributed denial-of-service attacks

Morris Sloman, Naranker Dulay, Vrizlynn L. L. Thing, 2009, 2009 IFIP/IEEE International Symposium on Integrated Network Management.

Automated face swapping and its detection

Ying Zhang, Vrizlynn L. L. Thing, Lilei Zheng, 2017, 2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP).

REX: Resilient and efficient data structure for tracking network flows

Li Ling Ko, Dinil Mon Divakaran, Vrizlynn L. L. Thing, 2017, Comput. Networks.

BIFF: A Blockchain-based IoT Forensics Framework with Identity Privacy

Duc-Phong Le, Le Su, Sze Ling Yeo, 2018, TENCON 2018 - 2018 IEEE Region 10 Conference.

Anomaly Detection and Attribution in Networks With Temporally Correlated Traffic

Li Ling Ko, Dinil Mon Divakaran, Vrizlynn L. L. Thing, 2018, IEEE/ACM Transactions on Networking.

Twenty years of digital audio watermarking - a comprehensive review

Jiwu Huang, Yun Q. Shi, Vrizlynn L. L. Thing, 2016, Signal Process..

Time-Spread Echo-Based Audio Watermarking With Optimized Imperceptibility and Robustness

Vrizlynn L. L. Thing, Guang Hua, Jonathan Goh, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

A hybrid evolutionary algorithm for feature and ensemble selection in image tampering detection

Jonathan Goh, Vrizlynn L. L. Thing, V. Thing, 2015, Int. J. Electron. Secur. Digit. Forensics.

Bandwidth-efficient WDM channel allocation for four-wave mixing-effect minimization

Vrizlynn L. L. Thing, Ping Shum, M. K. Rao, 2004, IEEE Transactions on Communications.

Smartphone Volatile Memory Acquisition for Security Analysis and Forensics Investigation

Vrizlynn L. L. Thing, Zheng Leong Chua, V. Thing, 2013, SEC.

Insider threat detection and its future directions

Li Ling Ko, Dinil Mon Divakaran, Yung Siang Liau, 2017, Int. J. Secur. Networks.

Machine learning for encrypted malicious traffic detection: Approaches, datasets and comparative study

Fok Kar Wai, V. Thing, Zihao Wang, 2021, Comput. Secur..

Image Region Forgery Detection: A Deep Learning Approach

Ying Zhang, Vrizlynn L. L. Thing, Lei Lei Win, 2016, SG-CRC.

Autonomous vehicle ultrasonic sensor vulnerability and impact assessment

Vrizlynn L. L. Thing, Sye Loong Keoh, Bing Shun Lim, 2018, 2018 IEEE 4th World Forum on Internet of Things (WF-IoT).

Autonomous Vehicle Security: A Taxonomy of Attacks and Defences

Vrizlynn L. L. Thing, Jiaxi Wu, V. Thing, 2016, 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData).

Live memory forensics of mobile phones

Vrizlynn L. L. Thing, Ee-Chien Chang, Kian-Yong Ng, 2010, Digit. Investig..

A survey on image tampering and its detection in real-world photos

Ying Zhang, Vrizlynn L. L. Thing, Lilei Zheng, 2019, J. Vis. Commun. Image Represent..

IP traceback for wireless ad-hoc networks

H.C.J. Lee, V.L.L. Thing, V. Thing, 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

A Novel Video Forgery Detection Model Based on Triangular Polarity Feature Classification

Vrizlynn L. L. Thing, Chien Eao Lee, Chee Cheun Huang, 2020, Int. J. Digit. Crime Forensics.

A semi-feature learning approach for tampered region localization across multi-format images

Ying Zhang, Vrizlynn L. L. Thing, Y. Zhang, 2018, Multimedia Tools and Applications.

A multi-scale noise-resistant feature adaptation approach for image tampering localization over Facebook

Ying Zhang, Vrizlynn L. L. Thing, Y. Zhang, 2017, 2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP).

Fingerprint Liveness Detection From Single Image Using Low-Level Features and Shape Analysis

Vrizlynn L. L. Thing, Jonathan Goh, Rohit Kumar Dubey, 2016, IEEE Transactions on Information Forensics and Security.

Network domain entrypoint/path determination for DDoS attacks

Vrizlynn L. L. Thing, Morris Sloman, Naranker Dulay, 2008, NOMS 2008 - 2008 IEEE Network Operations and Management Symposium.

Image content analysis for sector-wise JPEG fragment classification

Vrizlynn L. L. Thing, Yu Chen, V. Thing, 2013, J. Vis. Commun. Image Represent..

Port hopping for resilient networks

H.C.J. Lee, V.L.L. Thing, V. Thing, 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

Locating network domain entry and exit point/path for DDoS attack traffic

Vrizlynn L. L. Thing, Morris Sloman, Naranker Dulay, 2009, IEEE Transactions on Network and Service Management.

Non-intrusive IP traceback for DDoS attacks

Vrizlynn L. L. Thing, Morris Sloman, Naranker Dulay, 2007, ASIACCS '07.

Enhanced ICMP traceback with cumulative path

M. Sloman, V.L.L. Thing, H.C.J. Lee, 2005, 2005 IEEE 61st Vehicular Technology Conference.

Traffic Redirection Attack Protection System (TRAPS)

Vrizlynn L. L. Thing, Morris Sloman, Henry C. J. Lee, 2005 .

ICMP Traceback with Cumulative Path, an Efficient Solution for IP Traceback

Vrizlynn L. L. Thing, Yi Xu, Miao Ma, 2003, ICICS.

On the issues of IP traceback for IPv6 and mobile IPv6

Vrizlynn L. L. Thing, Yi Xu, Miao Ma, 2003, Proceedings of the Eighth IEEE Symposium on Computers and Communications. ISCC 2003.

FACT: A Framework for Authentication in Cloud-Based IP Traceback

Dinil Mon Divakaran, Vrizlynn L. L. Thing, Long Cheng, 2017, IEEE Transactions on Information Forensics and Security.

Opportunistic Piggyback Marking for IP Traceback

Dinil Mon Divakaran, Vrizlynn L. L. Thing, Long Cheng, 2016, IEEE Transactions on Information Forensics and Security.

Securing Android

Vrizlynn L. L. Thing, Sufatrio, Tong-Wei Chua, 2015, ACM Comput. Surv..

Evidence gathering for network security and forensics

Dinil Mon Divakaran, Vrizlynn L. L. Thing, Ido Nevat, 2017, Digit. Investig..

Mobile Phone Anomalous Behaviour Detection for Real-time Information Theft Tracking

Flora S. Tsai, Vrizlynn L. L. Thing, F. S. Tsai, 2011 .

FaceLivePlus: A Unified System for Face Liveness Detection and Face Verification

Y. Zhang, Zhiwen Yu, Bin Guo, 2023, ICMR.

A Noise-Tolerant Enhanced Classification Method for Logo Detection and Brand Classification

Yu Chen, Vrizlynn L. L. Thing, V. Thing, 2011, FGIT-SecTech.

Logo Classification with Edge-Based DAISY Descriptor

Bai Ying Lei, Yu Chen, Vrizlynn L. L. Thing, 2012, 2012 IEEE International Symposium on Multimedia.

Enhancing Cyber-Resilience in Self-Healing Cyber-Physical Systems with Implicit Guarantees

V. Thing, Randolph Loh, 2023, arXiv.org.

A scalable and extensible framework for android malware detection and family attribution

Vrizlynn L. L. Thing, Li Zhang, Yao Cheng, 2019, Comput. Secur..

A Novel Support Vector Machine Approach to High Entropy Data Fragment Classification

Ponnuthurai N. Suganthan, Vrizlynn L. L. Thing, Qiming Li, 2010, SAISMC.

PowerLSTM: Power Demand Forecasting Using Long Short-Term Memory Neural Network

Vrizlynn L. L. Thing, Yongdong Wu, Yao Cheng, 2017, ADMA.

Understanding multi-layer perceptrons on spatial image steganalysis features

Ying Zhang, Vrizlynn L. L. Thing, Lilei Zheng, 2017, 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Deepfake Detection with Deep Learning: Convolutional Neural Networks versus Transformers

V. Thing, 2023, 2023 IEEE International Conference on Cyber Security and Resilience (CSR).

Intrusion Detection in Internet of Things using Convolutional Neural Networks

Vrizlynn L. L. Thing, Fok Kar Wai, Martin Kodys, 2021, 2021 18th International Conference on Privacy, Security and Trust (PST).

An Empirical Study on Collective Online Behaviors of Extremist Supporters

Yong Liu, Vrizlynn L. L. Thing, Jung-jae Kim, 2017, ADMA.

A Survey of Bots Used for Distributed Denial of Service Attacks

Vrizlynn L. L. Thing, Morris Sloman, Naranker Dulay, 2007, SEC.

IEEE Big Data Cup 2022: Privacy Preserving Matching of Encrypted Images with Deep Learning

V. Thing, 2022, 2022 IEEE International Conference on Big Data (Big Data).

Anomaly Detection and Attribution in Networks With Temporally Correlated Traffic

Li Ling Ko, Sai Ganesh Nagarajan, D. Divakaran, 2018, IEEE/ACM Transactions on Networking.

A Novel Inequality-Based Fragmented File Carving Technique

Vrizlynn L. L. Thing, Hwei-Ming Ying, V. Thing, 2010, e-Forensics.

An adversarial attack approach for eXplainable AI evaluation on deepfake detection models

V. Thing, Balachandar Gowrisankar, 2023, Computers & Security.

A Generalized Links and Text Properties Based Forum Crawler

Vrizlynn L. L. Thing, Amit Sachan, Wee-Yong Lim, 2012, 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology.

Control flow obfuscation for Android applications

Vrizlynn L. L. Thing, Vivek Balachandran, Sufatrio, 2016, Comput. Secur..

Few-shot Weakly-supervised Cybersecurity Anomaly Detection

V. Thing, Rahul Kale, 2023, Comput. Secur..

Face Spoofing Video Detection Using Spatio-Temporal Statistical Binary Pattern

Ying Zhang, Guang Hua, Rohit Kumar Dubey, 2018, TENCON 2018 - 2018 IEEE Region 10 Conference.

Malicious Lateral Movement in 5G Core With Network Slicing And Its Detection

V. Thing, Ayush Kumar, 2023, 2023 33rd International Telecommunication Networks and Applications Conference.