| 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 | 106 | 2008 |
| 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 | 86 | 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 | 78 | 2015 |
| 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, 2009 | 71 | 2009 |
| 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 | 54 | 2012 |
| 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 | 52 | 2016 |
| 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 | 41 | 2018 |
| USB-based attacks N Nissim, R Yahalom, Y Elovici Computers & Security 70, 675-688, 2017 | 41 | 2017 |
| 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 | 41 | 2007 |
| 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 | 38 | 2016 |
| 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 | 38 | 2014 |
| Malicious code detection using active learning R Moskovitch, N Nissim, Y Elovici International Workshop on Privacy, Security, and Trust in KDD, 74-91, 2008 | 37 | 2008 |
| 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, 2016 | 24 | 2016 |
| 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 | 24 | 2016 |
| 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 | 21 | 2018 |
| 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 | 18 | 2018 |
| Malicious code detection and acquisition using active learning R Moskovitch, N Nissim, Y Elovici 2007 IEEE Intelligence and Security Informatics, 371-371, 2007 | 18 | 2007 |
| 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 | 17 | 2015 |
| Acquisition of malicious code using active learning R Moskovitch, N Nissim, Y Elovici Proc. 2nd Int’l Workshop on Privacy, Security, & Trust in KDD, 2008 | 17 | 2008 |
| 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 | 16 | 2019 |
Yuval EloviciDirector of Telekom Innovation Laboratories at Ben Gurion UniversityVerified email at bgu.ac.il
