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Nir Nissim
Nir Nissim
Head of the Malware-Lab, Ben-Gurion University
Verified email at post.bgu.ac.il - Homepage
Title
Cited by
Cited by
Year
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
1232019
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
1202008
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
1082014
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
942015
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
822016
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
782018
Unknown malcode detection and the imbalance problem
R Moskovitch, D Stopel, C Feher, N Nissim, N Japkowicz, Y Elovici
Journal in computer virology 5 (4), 295-308, 2009
752009
USB-based attacks
N Nissim, R Yahalom, Y Elovici
Computers & Security 70, 675-688, 2017
732017
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 (4), 459-475, 2012
662012
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
562016
Improving the detection of unknown computer worms activity using active learning
R Moskovitch, N Nissim, D Stopel, C Feher, R Englert, Y Elovici
Annual Conference on Artificial Intelligence, 489-493, 2007
522007
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
502014
Malicious code detection using active learning
R Moskovitch, N Nissim, Y Elovici
International Workshop on Privacy, Security, and Trust in KDD, 74-91, 2008
412008
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 (3), 795-833, 2016
392016
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
372018
Keeping pace with the creation of new malicious PDF files using an active-learning based detection framework
N Nissim, A Cohen, R Moskovitch, A Shabtai, M Edri, O BarAd, Y Elovici
Security Informatics 5 (1), 1-20, 2016
372016
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
292018
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
242020
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
242019
An active learning framework for efficient condition severity classification
N Nissim, MR Boland, R Moskovitch, NP Tatonetti, Y Elovici, Y Shahar, ...
Conference on Artificial Intelligence in Medicine in Europe, 13-24, 2015
222015
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Articles 1–20