Asaf Shabtai

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Yuval EloviciHead of Cyber@BGU, Director of Telekom Innovation Laboratories at BGU, 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
Ron BittonDepartment of software and information system engineering @ Ben Gurion universityEmail confirmado em post.bgu.ac.il
Rami PuzisSoftware and Information Systems Engineering Department, Ben-Gurion University of the NegevEmail confirmado em bgu.ac.il
Yisroel MirskyBen-Gurion UniversityEmail confirmado em bgu.ac.il
Yair MeidanPh.D., Data Scientist / Machine Learning Expert at eToroEmail confirmado em post.bgu.ac.il
Ishai RosenbergPhD Candidate, Ben-Gurion University of the NegevEmail confirmado em post.bgu.ac.il
Nils Ole TippenhauerFaculty, CISPA Helmholtz Center for Information SecurityEmail confirmado em cispa.saarland
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
moshe kravchikBen Gurion UniversityEmail confirmado em post.bgu.ac.il
Bracha ShapiraBen-Gurion University of the NegevEmail confirmado em bgu.ac.il
Ziv KatzirBen-Gurion University, Department of Software and Information Systems EngineeringEmail confirmado em post.bgu.ac.il
Nir OfekTel Aviv University, Laboratory for Consciousness Research and Soft LogicEmail confirmado em bgu.ac.il
Yuval ShaharProfessor of software and information systems engineering, Ben Gurion UniversityEmail confirmado em bgu.ac.il
Eitan MenahemIBMEmail confirmado em post.bgu.ac.il
Battista BiggioAssociate Professor at University of Cagliari, Co-Founder of Pluribus OneEmail confirmado em unica.it
Gil FidelBen-Gurion University of the NegevEmail confirmado em post.bgu.ac.il

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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	977	2012
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	863	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	758	2018
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	588	2010
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	410	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	383	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	282	2012
Securing Android-powered mobile devices using SELinux A Shabtai, Y Fledel, Y Elovici IEEE Security & Privacy 8 (3), 36-44, 2009	253	2009
A survey of data leakage detection and prevention solutions A Shabtai, Y Elovici, L Rokach Springer Science & Business Media, 2012	246	2012
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	244	2018
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	237	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	236	2017
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	214	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	176	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	174	2010
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 Research in Attacks, Intrusions, and Defenses: 21st International Symposium …, 2018	159	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	154	2019
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	151	2009
System that provides early detection, alert, and response to electronic threats Y Elovici, G Tachan, A Shabtai US Patent 8,171,554, 2012	138	2012
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	129	2017

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