Nir Nissim

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Yuval EloviciHead of Cyber@BGU, Director of Telekom Innovation Laboratories at BGU, Ben Gurion UniversityVerified email at bgu.ac.il
Aviad CohenPh.D., Software and Information Systems Engineering in Ben-GurionVerified email at post.bgu.ac.il
Lior RokachSoftware and Information Systems Engineering, Ben-Gurion University of the NegevVerified email at bgu.ac.il
Yuval ShaharProfessor of software and information systems engineering, Ben Gurion UniversityVerified email at bgu.ac.il
Eitam SheetritPh.D., Software and Information Systems Engineering in Ben-Gurion UniversityVerified email at bgu.ac.il
Ori Or-MeirBen Gurion UniversityVerified email at post.bgu.ac.il
Trivikram MuralidharanBen-Gurion University of the NegevVerified email at post.bgu.ac.il
George HripcsakColumbia UniversityVerified email at columbia.edu
Asaf ShabtaiSoftware and Information Systems Engineering, Telekom Innovation Labs, Ben Gurion UniversityVerified email at bgu.ac.il
Nicholas P TatonettiProfessor and Vice Chair of Computational Biomedicine, Cedars-Sinai Medical CenterVerified email at cshs.org
Mary Regina Boland, MA, MPhil, PhD,...Saint Vincent College, Latrobe, PA, USAVerified email at stvincent.edu
Daniel NahmiasBen Gurion University of the NegevVerified email at post.bgu.ac.il
Ofir LandauBen-Gurion UniversityVerified email at post.bgu.ac.il
Denis KlimovVerified email at post.bgu.ac.il
Matan KintzlingerResearcher at the Malware-Lab at the Cyber Security Research Center at Ben Gurion UniversityVerified email at post.bgu.ac.il
Assaf CohenM.Sc. @ BGUVerified email at post.bgu.ac.il
Ran YahalomBen-Gurion University of the NegevVerified email at cs.bgu.ac.il
Tomer PankerPh.D. Student at Ben-Gurion UniversityVerified email at post.bgu.ac.il
Nathalie JapkowiczAmerican UniversityVerified email at american.edu
Tom LandmanData Scientist | Researcher at Ben-Gurion UniversityVerified email at post.bgu.ac.il

Nir Nissim

Head of the Malware-Lab, Ben-Gurion University

Verified email at post.bgu.ac.il - Homepage

Cyber Security Data Science Machine Learning Biomedical Informatics


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Dynamic malware analysis in the modern era—A state of the art survey O Or-Meir, N Nissim, Y Elovici, L Rokach ACM Computing Surveys (CSUR) 52 (5), 1-48, 2019	347	2019
Unknown malcode detection via text categorization and the imbalance problem R Moskovitch, D Stopel, C Feher, N Nissim, Y Elovici 2008 IEEE international conference on intelligence and security informatics …, 2008	140	2008
Trusted detection of ransomware in a private cloud using machine learning methods leveraging meta-features from volatile memory A Cohen, N Nissim Expert Systems with Applications 102 (Issue C), 158-178, 2018	136	2018
Novel active learning methods for enhanced PC malware detection in windows OS N Nissim, R Moskovitch, L Rokach, Y Elovici Expert Systems with Applications 41 (13), 5843-5857, 2014	134	2014
Detection of malicious PDF files and directions for enhancements: A state-of-the art survey N Nissim, A Cohen, C Glezer, Y Elovici Computers & Security 48, 246-266, 2015	130	2015
USB-based attacks N Nissim, R Yahalom, Y Elovici Computers & Security 70, 675-688, 2017	116	2017
ALDOCX: detection of unknown malicious microsoft office documents using designated active learning methods based on new structural feature extraction methodology N Nissim, A Cohen, Y Elovici IEEE Transactions on Information Forensics and Security 12 (3), 631-646, 2016	110	2016
Unknown malcode detection and the imbalance problem R Moskovitch, D Stopel, C Feher, N Nissim, N Japkowicz, Y Elovici Journal in computer virology 5, 295-308, 2009	87	2009
SFEM: Structural feature extraction methodology for the detection of malicious office documents using machine learning methods A Cohen, N Nissim, L Rokach, Y Elovici Expert Systems with Applications 63, 324-343, 2016	84	2016
Detecting unknown computer worm activity via support vector machines and active learning N Nissim, R Moskovitch, L Rokach, Y Elovici Pattern Analysis and Applications 15, 459-475, 2012	74	2012
Improving the detection of unknown computer worms activity using active learning R Moskovitch, N Nissim, D Stopel, C Feher, R Englert, Y Elovici KI 2007: Advances in Artificial Intelligence: 30th Annual German Conference …, 2007	65	2007
Alpd: Active learning framework for enhancing the detection of malicious pdf files N Nissim, A Cohen, R Moskovitch, A Shabtai, M Edry, O Bar-Ad, Y Elovici 2014 IEEE Joint Intelligence and Security Informatics Conference, 91-98, 2014	58	2014
Trusted System-Calls Analysis Methodology Aimed at Detection of Compromised Virtual Machines Using Sequential Mining N Nissim, Y Lapidot, A Cohen, Y Elovici Knowledge-Based Systems 153 (1 August 2018,), Pages 147-175, 2018	55	2018
MalJPEG: Machine Learning Based Solution for the Detection of Malicious JPEG Images A Cohen, N Nissim, Y Elovici IEEE Access 8, 19997 - 20011, 2020	52	2020
Temporal probabilistic profiles for sepsis prediction in the ICU E Sheetrit, N Nissim, D Klimov, Y Shahar Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019	52	2019
Deep feature transfer learning for trusted and automated malware signature generation in private cloud environments D Nahmias, A Cohen, N Nissim, Y Elovici Neural Networks 124, 243-257, 2020	49	2020
Malicious code detection using active learning R Moskovitch, N Nissim, Y Elovici International Workshop on Privacy, Security, and Trust in KDD, 74-91, 2008	49	2008
ALDROID: efficient update of Android anti-virus software using designated active learning methods N Nissim, R Moskovitch, O BarAd, L Rokach, Y Elovici Knowledge and Information Systems 49, 795-833, 2016	47	2016
Mind your mind: EEG-based brain-computer interfaces and their security in cyber space O Landau, R Puzis, N Nissim ACM Computing Surveys (CSUR) 53 (1), 1-38, 2020	44	2020
Novel set of general descriptive features for enhanced detection of malicious emails using machine learning methods A Cohen, N Nissim, Y Elovici Expert Systems with Applications 110, 143-169, 2018	44	2018

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