Asaf Shabtai

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Yuval EloviciDirector of Telekom Innovation Laboratories at Ben Gurion UniversityEmail confirmado em bgu.ac.il
Lior RokachSoftware and Information Systems Engineering, Ben-Gurion University of the NegevEmail confirmado em bgu.ac.il
Yisroel MirskyBen-Gurion UniversityEmail confirmado em bgu.ac.il
Rami PuzisSoftware and Information Systems Engineering Department, Ben-Gurion University of the NegevEmail confirmado em bgu.ac.il
Ron BittonDepartment of software and information system engineering @ Ben Gurion universityEmail confirmado em post.bgu.ac.il
Yair MeidanPh.D., Data Scientist / Machine Learning Expert at eToroEmail confirmado em post.bgu.ac.il
Nils Ole TippenhauerFaculty, CISPA Helmholtz Center for Information SecurityEmail confirmado em cispa.saarland
Ishai RosenbergPhD Candidate, Ben-Gurion University of the NegevEmail confirmado em post.bgu.ac.il
Gilad KatzBen-Gurion University, IsraelEmail confirmado em bgu.ac.il
Robert MoskovitchSoftware and Information Systems Engineering, Ben Gurion University of the NegevEmail confirmado em columbia.edu
Shlomi DolevBen-Gurion University of the NegevEmail confirmado em cs.bgu.ac.il
Asaf NadlerBen Gurion University of the NegevEmail confirmado em post.bgu.ac.il
Bracha ShapiraBen-Gurion University of the NegevEmail confirmado em bgu.ac.il
moshe kravchikBen Gurion UniversityEmail confirmado em post.bgu.ac.il
Yuval ShaharProfessor of software and information systems engineering, Ben Gurion UniversityEmail confirmado em bgu.ac.il
Nir OfekTel Aviv University, Laboratory for Consciousness Research and Soft LogicEmail confirmado em bgu.ac.il
Eitan MenahemIBMEmail confirmado em post.bgu.ac.il
Ziv KatzirBen-Gurion University, Department of Software and Information Systems EngineeringEmail confirmado em post.bgu.ac.il
Yossi Oren (יוסי אורן)Senior Lecturer (≝Assistant Professor) at Ben Gurion University's Cyber Security Research CenterEmail confirmado em bgu.ac.il
omer shwartzBen Gurion University of the NegevEmail confirmado em post.bgu.ac.il

Asaf Shabtai

Software and Information Systems Engineering, Telekom Innovation Labs, Ben Gurion University

Email confirmado em bgu.ac.il

Computer and network security machine learning


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
“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	896	2012
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	568	2010
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	513	2018
Kitsune: an ensemble of autoencoders for online network intrusion detection Y Mirsky, T Doitshman, Y Elovici, A Shabtai arXiv preprint arXiv:1802.09089, 2018	403	2018
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	351	2009
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	280	2017
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	253	2012
Securing Android-powered mobile devices using SELinux A Shabtai, Y Fledel, Y Elovici IEEE Security & Privacy 8 (3), 36-44, 2009	252	2009
A survey of data leakage detection and prevention solutions A Shabtai, Y Elovici, L Rokach Springer Science & Business Media, 2012	226	2012
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	226	2010
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	183	2014
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	167	2009
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	164	2010
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	159	2017
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	157	2018
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	143	2009
System that provides early detection, alert, and response to electronic threats Y Elovici, G Tachan, A Shabtai US Patent 8,171,554, 2012	129	2012
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	106	2018
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	104	2019
Applying behavioral detection on android-based devices A Shabtai, Y Elovici International Conference on Mobile Wireless Middleware, Operating Systems …, 2010	100	2010

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