Nir Nissim

According to our database1, Nir Nissim
  • authored at least 24 papers between 2007 and 2018.
  • has a "Dijkstra number"2 of five.



In proceedings 
PhD thesis 




Trusted system-calls analysis methodology aimed at detection of compromised virtual machines using sequential mining.
Knowl.-Based Syst., 2018

Trusted detection of ransomware in a private cloud using machine learning methods leveraging meta-features from volatile memory.
Expert Syst. Appl., 2018

Know Your Enemy: Characteristics of Cyber-Attacks on Medical Imaging Devices.
CoRR, 2018

ALDOCX: Detection of Unknown Malicious Microsoft Office Documents Using Designated Active Learning Methods Based on New Structural Feature Extraction Methodology.
IEEE Trans. Information Forensics and Security, 2017

Temporal Pattern Discovery for Accurate Sepsis Diagnosis in ICU Patients.
CoRR, 2017

USB-based attacks.
Computers & Security, 2017

Inter-labeler and intra-labeler variability of condition severity classification models using active and passive learning methods.
Artificial Intelligence in Medicine, 2017

Scholarly Digital Libraries as a Platform for Malware Distribution.
Proceedings of the A Systems Approach to Cyber Security, 2017

Keeping pace with the creation of new malicious PDF files using an active-learning based detection framework.
Security Informatics, 2016

ALDROID: efficient update of Android anti-virus software using designated active learning methods.
Knowl. Inf. Syst., 2016

Improving condition severity classification with an efficient active learning based framework.
Journal of Biomedical Informatics, 2016

SFEM: Structural feature extraction methodology for the detection of malicious office documents using machine learning methods.
Expert Syst. Appl., 2016

Detection of malicious PDF files and directions for enhancements: A state-of-the art survey.
Computers & Security, 2015

Boosting the Detection of Malicious Documents Using Designated Active Learning Methods.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

An Active Learning Framework for Efficient Condition Severity Classification.
Proceedings of the Artificial Intelligence in Medicine, 2015

Novel active learning methods for enhanced PC malware detection in windows OS.
Expert Syst. Appl., 2014

ALPD: Active Learning Framework for Enhancing the Detection of Malicious PDF Files.
Proceedings of the IEEE Joint Intelligence and Security Informatics Conference, 2014

Detecting unknown computer worm activity via support vector machines and active learning.
Pattern Anal. Appl., 2012

Unknown malcode detection and the imbalance problem.
Journal in Computer Virology, 2009

Malicious Code Detection Using Active Learning.
Proceedings of the Privacy, 2008

Unknown malcode detection via text categorization and the imbalance problem.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2008

Active learning to improve the detection of unknown computer worms activity.
Proceedings of the 11th International Conference on Information Fusion, 2008

Improving the Detection of Unknown Computer Worms Activity Using Active Learning.
Proceedings of the KI 2007: Advances in Artificial Intelligence, 2007

Malicious Code Detection and Acquisition Using Active Learning.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2007