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Asaf Shabtai
Asaf Shabtai
Software and Information Systems Engineering, Telekom Innovation Labs, Ben Gurion University
Verified email at bgu.ac.il
Title
Cited by
Cited by
Year
“Andromaly”: a behavioral malware detection framework for android devices
A Shabtai, U Kanonov, Y Elovici, C Glezer, Y Weiss
Journal of Intelligent Information Systems 38 (1), 161-190, 2012
9562012
N-baiot—network-based detection of iot botnet attacks using deep autoencoders
Y Meidan, M Bohadana, Y Mathov, Y Mirsky, A Shabtai, D Breitenbacher, ...
IEEE Pervasive Computing 17 (3), 12-22, 2018
7822018
Kitsune: an ensemble of autoencoders for online network intrusion detection
Y Mirsky, T Doitshman, Y Elovici, A Shabtai
arXiv preprint arXiv:1802.09089, 2018
6712018
Google android: A comprehensive security assessment
A Shabtai, Y Fledel, U Kanonov, Y Elovici, S Dolev, C Glezer
IEEE Security & Privacy 8 (2), 35-44, 2010
5832010
Detection of malicious code by applying machine learning classifiers on static features: A state-of-the-art survey
A Shabtai, R Moskovitch, Y Elovici, C Glezer
information security technical report 14 (1), 16-29, 2009
3962009
ProfilIoT: a machine learning approach for IoT device identification based on network traffic analysis
Y Meidan, M Bohadana, A Shabtai, JD Guarnizo, M Ochoa, ...
Proceedings of the symposium on applied computing, 506-509, 2017
3452017
Detecting unknown malicious code by applying classification techniques on opcode patterns
A Shabtai, R Moskovitch, C Feher, S Dolev, Y Elovici
Security Informatics 1 (1), 1-22, 2012
2732012
Securing Android-powered mobile devices using SELinux
A Shabtai, Y Fledel, Y Elovici
IEEE Security & Privacy 8 (3), 36-44, 2009
2522009
A survey of data leakage detection and prevention solutions
A Shabtai, Y Elovici, L Rokach
Springer Science & Business Media, 2012
2412012
Automated static code analysis for classifying android applications using machine learning
A Shabtai, Y Fledel, Y Elovici
2010 international conference on computational intelligence and security …, 2010
2362010
Detection of unauthorized IoT devices using machine learning techniques
Y Meidan, M Bohadana, A Shabtai, M Ochoa, NO Tippenhauer, ...
arXiv preprint arXiv:1709.04647, 2017
2192017
Detecting cyber attacks in industrial control systems using convolutional neural networks
M Kravchik, A Shabtai
Proceedings of the 2018 workshop on cyber-physical systems security and …, 2018
2182018
Mobile malware detection through analysis of deviations in application network behavior
A Shabtai, L Tenenboim-Chekina, D Mimran, L Rokach, B Shapira, ...
Computers & Security 43, 1-18, 2014
2062014
Improving malware detection by applying multi-inducer ensemble
E Menahem, A Shabtai, L Rokach, Y Elovici
Computational Statistics & Data Analysis 53 (4), 1483-1494, 2009
1722009
Intrusion detection for mobile devices using the knowledge-based, temporal abstraction method
A Shabtai, U Kanonov, Y Elovici
Journal of Systems and Software 83 (8), 1524-1537, 2010
1692010
Google android: A state-of-the-art review of security mechanisms
A Shabtai, Y Fledel, U Kanonov, Y Elovici, S Dolev
arXiv preprint arXiv:0912.5101, 2009
1522009
Generic black-box end-to-end attack against state of the art API call based malware classifiers
I Rosenberg, A Shabtai, L Rokach, Y Elovici
International Symposium on Research in Attacks, Intrusions, and Defenses …, 2018
1482018
Security testbed for Internet-of-Things devices
S Siboni, V Sachidananda, Y Meidan, M Bohadana, Y Mathov, S Bhairav, ...
IEEE transactions on reliability 68 (1), 23-44, 2019
1402019
System that provides early detection, alert, and response to electronic threats
Y Elovici, G Tachan, A Shabtai
US Patent 8,171,554, 2012
1362012
Siphon: Towards scalable high-interaction physical honeypots
JD Guarnizo, A Tambe, SS Bhunia, M Ochoa, NO Tippenhauer, A Shabtai, ...
Proceedings of the 3rd ACM Workshop on Cyber-Physical System Security, 57-68, 2017
1192017
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Articles 1–20