M. Abadi

发表

A Clustering-Based Approach for Personalized Privacy Preserving Publication of Moving Object Trajectory Data

Mohsen Kahani, Mahdi Abadi, Hassan Mahdikhani, 2012, NSS.

A PCA-based distributed approach for intrusion detection in wireless sensor networks

Mahdi Abadi, Mohammad Ahmadi Livani, M. A. Livani, 2011, 2011 International Symposium on Computer Networks and Distributed Systems (CNDS).

A fully spatial personalized differentially private mechanism to provide non-uniform privacy guarantees for spatial databases

Mahdi Abadi, Fatemeh Deldar, Nadia Niknami, 2020, Inf. Syst..

BeeID: intrusion detection in AODV-based MANETs using artificial Bee colony and negative selection algorithms

Fatemeh Barani, Mahdi Abadi, Fatemeh Barani, 2012, ISC Int. J. Inf. Secur..

BeeID: IntrusionDetection in AODV-basedMANETsUsing Artificial Bee Colony andNegative SelectionAlgorithms

Fatemeh Barani, M. Abadi, 2012 .

An ABC-AIS Hybrid Approach to Dynamic Anomaly Detection in AODV-Based MANETs

Mahdi Abadi, Fatemeh Barani, Fatemeh Barani, 2011, 2011IEEE 10th International Conference on Trust, Security and Privacy in Computing and Communications.

Detecting Obfuscated JavaScript Malware Using Sequences of Internal Function Calls

Mahdi Abadi, Alireza Gorji, M. Abadi, 2014, ACM Southeast Regional Conference.

A differentially private location generalization approach to guarantee non-uniform privacy in moving objects databases

Mahdi Abadi, Fatemeh Deldar, M. Abadi, 2021, Knowl. Based Syst..

HPCMalHunter: Behavioral malware detection using hardware performance counters and singular value decomposition

Mahdi Abadi, Mohammad Bagher Bahador, Asghar Tajoddin, 2014, 2014 4th International Conference on Computer and Knowledge Engineering (ICCKE).

RAMD: registry-based anomaly malware detection using one-class ensemble classifiers

M. Abadi, Asghar Tajoddin, 2019, Applied Intelligence.

Android Malware Detection Using Supervised Deep Graph Representation Learning

M. Abadi, Fatemeh Deldar, Mohammad Ebrahimifard, 2022, 2022 12th International Conference on Computer and Knowledge Engineering (ICCKE).

AMD-EC: Anomaly-based Android malware detection using ensemble classifiers

Mahdi Abadi, Asghar Tajoddin, Fariba Ghaffari, 2017, 2017 Iranian Conference on Electrical Engineering (ICEE).

BeeOWA: A novel approach based on ABC algorithm and induced OWA operators for constructing one-class classifier ensembles

Mahdi Abadi, Elham Parhizkar, M. Abadi, 2015, Neurocomputing.

DbDHunter: An ensemble-based anomaly detection approach to detect drive-by download attacks

Mahdi Abadi, Elham Parhizkar, Mehran Jodavi, 2015, 2015 5th International Conference on Computer and Knowledge Engineering (ICCKE).

JSObfusDetector: A binary PSO-based one-class classifier ensemble to detect obfuscated JavaScript code

Mahdi Abadi, Elham Parhizkar, Mehran Jodavi, 2015, 2015 The International Symposium on Artificial Intelligence and Signal Processing (AISP).

BotGrab: A negative reputation system for botnet detection

Mahdi Abadi, Moosa Yahyazadeh, M. Abadi, 2015, Comput. Electr. Eng..

HLMD: a signature-based approach to hardware-level behavioral malware detection and classification

Mahdi Abadi, Mohammad Bagher Bahador, Asghar Tajoddin, 2019, The Journal of Supercomputing.

Incremental collusive fraud detection in large-scale online auction networks

Mahdi Abadi, Ali Dorri, Mahila Dadfarnia, 2020, The Journal of Supercomputing.

Deep Learning for Zero-Day Malware Detection and Classification: A Survey

M. Abadi, Fatemeh Deldar, 2023, ACM Computing Surveys.

Android Malware Detection Using One-Class Graph Neural Networks

M. Abadi, M. Ebrahimifard, Fatemeh Deldar, 2022, ISC Int. J. Inf. Secur..

A novel reputation system to detect DGA-based botnets

Reza Sharifnya, Mahdi Abadi, M. Abadi, 2013, ICCKE 2013.

Outlier Detection in Wireless Sensor Networks Using Distributed Principal Component Analysis

Mahdi Abadi, Mohammad Ahmadi Livani, Meisam Yadollahzadeh Tabari, 2013 .

BotCatch: Botnet detection based on coordinated group activities of compromised hosts

Mahdi Abadi, Mosa Yahyazadeh, M. Abadi, 2014, 7'th International Symposium on Telecommunications (IST'2014).

Enhancing spatial and temporal utilities in differentially private moving objects database release

Mahdi Abadi, Fatemeh Deldar, M. Abadi, 2020, International Journal of Information Security.

SocialBotHunter: Botnet Detection in Twitter-Like Social Networking Services Using Semi-Supervised Collective Classification

Mahdi Abadi, Ali Dorri, Mahila Dadfarnia, 2018, 2018 IEEE 16th Intl Conf on Dependable, Autonomic and Secure Computing, 16th Intl Conf on Pervasive Intelligence and Computing, 4th Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech).

Deep Learning for Zero-day Malware Detection and Classification: A Survey

M. Abadi, Fatemeh Deldar, 2023, ACM Comput. Surv..

A hybrid model for correlating alerts of known and unknown attack scenarios and updating attack graphs

Saeed Jalili, Mahdi Abadi, Seyed Hossein Ahmadinejad, 2011, Comput. Networks.

Minimization Analysis of Network Attack Graphs Using Genetic Algorithms

Saeed Jalili, Mahdi Abadi, S. Jalili, 2008, International Journal of Computers and Their Applications.

A Memetic Particle Swarm Optimization Algorithm for Network Vulnerability Analysis

Saeed Jalili, Mahdi Abadi, S. Jalili, 2011 .

A particle swarm optimization algorithm for minimization analysis of cost-sensitive attack graphs

Saeed Jalili, Mahdi Abadi, S. Jalili, 2010, ISC Int. J. Inf. Secur..

DFBotKiller: Domain-flux botnet detection based on the history of group activities and failures in DNS traffic

Reza Sharifnya, Mahdi Abadi, M. Abadi, 2015, Digit. Investig..

PLDP-TD: Personalized-location differentially private data analysis on trajectory databases

Mahdi Abadi, Fatemeh Deldar, M. Abadi, 2018, Pervasive Mob. Comput..

SpatialPDP: A personalized differentially private mechanism for range counting queries over spatial databases

Mahdi Abadi, Fatemeh Deldar, Nadia Niknami, 2014, 2014 4th International Conference on Computer and Knowledge Engineering (ICCKE).