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N. Nissim · SciRah

Researcher profile · Semantic Scholar

N. Nissim

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N. Nissim — researcher profile on SciRah

h-index: 29
Works: 72
Citations: 2,482

Most-cited papers

Dynamic Malware Analysis in the Modern Era—A State of the Art Survey
Ori Or-Meir, N. Nissim, Y. Elovici, L. Rokach
2019ACM Computing Surveys369 citations Open access
Semantic Scholar
Novel active learning methods for enhanced PC malware detection in windows OS
N. Nissim, R. Moskovitch, L. Rokach, Y. Elovici
2014Expert systems with applications118 citations
Semantic Scholar
Trusted detection of ransomware in a private cloud using machine learning methods leveraging meta-features from volatile memory
Aviad Cohen, N. Nissim
2018Expert systems with applications116 citations
Semantic Scholar
Unknown malcode detection via text categorization and the imbalance problem
R. Moskovitch, Dima Stopel, Clint Feher, N. Nissim +1 more
20082008 IEEE International Conference on Intelligence and Security Informatics113 citations
Semantic Scholar
Detection of malicious PDF files and directions for enhancements: A state-of-the art survey
N. Nissim, Aviad Cohen, Chanan Glezer, Y. Elovici
2015Computers & security99 citations
Semantic Scholar
ALDOCX: Detection of Unknown Malicious Microsoft Office Documents Using Designated Active Learning Methods Based on New Structural Feature Extraction Methodology
N. Nissim, Aviad Cohen, Y. Elovici
2017IEEE Transactions on Information Forensics and Security94 citations Open access
Semantic Scholar
USB-based attacks
N. Nissim, Ran Yahalom, Y. Elovici
2017Computers & security88 citations
Semantic Scholar
Unknown malcode detection and the imbalance problem
R. Moskovitch, Dima Stopel, Clint Feher, N. Nissim +2 more
2009Journal in Computer Virology77 citations
Semantic Scholar
SFEM: Structural feature extraction methodology for the detection of malicious office documents using machine learning methods
Aviad Cohen, N. Nissim, L. Rokach, Y. Elovici
2016Expert systems with applications69 citations
Semantic Scholar
Detecting unknown computer worm activity via support vector machines and active learning
N. Nissim, R. Moskovitch, L. Rokach, Y. Elovici
2012Pattern Analysis and Applications64 citations
Semantic Scholar
Improving malicious email detection through novel designated deep-learning architectures utilizing entire email
Trivikram Muralidharan, N. Nissim
2022Neural Networks59 citations Open access
Semantic Scholar
File Packing from the Malware Perspective: Techniques, Analysis Approaches, and Directions for Enhancements
Trivikram Muralidharan, Aviad Cohen, Noa Gerson, N. Nissim
2022ACM Computing Surveys56 citations
Semantic Scholar
Leveraging malicious behavior traces from volatile memory using machine learning methods for trusted unknown malware detection in Linux cloud environments
Tomer Panker, N. Nissim
2021Knowledge-Based Systems54 citations
Semantic Scholar
Temporal Probabilistic Profiles for Sepsis Prediction in the ICU
Eitam Sheetrit, N. Nissim, D. Klimov, Yuval Shahar
2019Knowledge Discovery and Data Mining50 citations
Semantic Scholar
Improving the Detection of Unknown Computer Worms Activity Using Active Learning
R. Moskovitch, N. Nissim, Dima Stopel, Clint Feher +2 more
2007Deutsche Jahrestagung für Künstliche Intelligenz48 citations Open access
Semantic Scholar
MalJPEG: Machine Learning Based Solution for the Detection of Malicious JPEG Images
Aviad Cohen, N. Nissim, Y. Elovici
2020IEEE Access47 citations Open access
Semantic Scholar
Trusted system-calls analysis methodology aimed at detection of compromised virtual machines using sequential mining
N. Nissim, Yuval Lapidot, Aviad Cohen, Y. Elovici
2018Knowledge-Based Systems46 citations
Semantic Scholar
ALPD: Active Learning Framework for Enhancing the Detection of Malicious PDF Files
N. Nissim, Aviad Cohen, R. Moskovitch, Assaf Shabtai +3 more
20142014 IEEE Joint Intelligence and Security Informatics Conference45 citations
Semantic Scholar
The infinite race between steganography and steganalysis in images
Trivikram Muralidharan, Aviad Cohen, Assaf Cohen, N. Nissim
2022Signal Processing44 citations
Semantic Scholar
Deep-Hook: A trusted deep learning-based framework for unknown malware detection and classification in Linux cloud environments
Tom Landman, N. Nissim
2021Neural Networks44 citations
Semantic Scholar
Malicious Code Detection Using Active Learning
R. Moskovitch, N. Nissim, Y. Elovici
2009PinKDD43 citations
Semantic Scholar
Deep feature transfer learning for trusted and automated malware signature generation in private cloud environments
Daniel Nahmias, Aviad Cohen, N. Nissim, Y. Elovici
2020Neural Networks42 citations
Semantic Scholar
Volatile memory analysis using the MinHash method for efficient and secured detection of malware in private cloud
N. Nissim, O. Lahav, Aviad Cohen, Y. Elovici +1 more
2019Computers & security41 citations
Semantic Scholar
ALDROID: efficient update of Android anti-virus software using designated active learning methods
N. Nissim, R. Moskovitch, O. Bar-Ad, L. Rokach +1 more
2016Knowledge and Information Systems41 citations
Semantic Scholar
Novel set of general descriptive features for enhanced detection of malicious emails using machine learning methods
Aviad Cohen, N. Nissim, Y. Elovici
2018Expert systems with applications39 citations
Semantic Scholar
Mind your privacy: Privacy leakage through BCI applications using machine learning methods
Ofir Landau, Aviad Cohen, Shirley Gordon, N. Nissim
2020Knowledge-Based Systems37 citations
Semantic Scholar
Keeping pace with the creation of new malicious PDF files using an active-learning based detection framework
N. Nissim, Aviad Cohen, R. Moskovitch, A. Shabtai +3 more
2016Security Informatics36 citations Open access
Semantic Scholar
Keep an eye on your personal belongings! The security of personal medical devices and their ecosystems
Matan Kintzlinger, N. Nissim
2019Journal of Biomedical Informatics32 citations Open access
Semantic Scholar
Know Your Enemy: Characteristics of Cyber-Attacks on Medical Imaging Devices
Tom Mahler, N. Nissim, E. Shalom, Israel Goldenberg +5 more
2018arXiv.org29 citations
Semantic Scholar
Bon-APT: Detection, attribution, and explainability of APT malware using temporal segmentation of API calls
Gil Shenderovitz, N. Nissim
2024Computers & security28 citations
Semantic Scholar
Time-interval temporal patterns can beat and explain the malware
Ido Finder, Eitam Sheetrit, N. Nissim
2022Knowledge-Based Systems28 citations
Semantic Scholar
Malboard: A novel user keystroke impersonation attack and trusted detection framework based on side-channel analysis
Nitzan Farhi, N. Nissim, Y. Elovici
2019Computers & security27 citations
Semantic Scholar
Improving condition severity classification with an efficient active learning based framework
N. Nissim, M. Boland, Nicholas P. Tatonetti, Y. Elovici +3 more
2016Journal of Biomedical Informatics27 citations Open access
Semantic Scholar
Personalized insulin dose manipulation attack and its detection using interval-based temporal patterns and machine learning algorithms
Tamar Levy-Loboda, Eitam Sheetrit, I. Liberty, A. Haim +1 more
2022Journal of Biomedical Informatics24 citations Open access
Semantic Scholar
Malicious Code Detection and Acquisition Using Active Learning
R. Moskovitch, N. Nissim, Y. Elovici
20072007 IEEE Intelligence and Security Informatics24 citations
Semantic Scholar
TrustSign: Trusted Malware Signature Generation in Private Clouds Using Deep Feature Transfer Learning
Daniel Nahmias, Aviad Cohen, N. Nissim, Y. Elovici
2019IEEE International Joint Conference on Neural Network23 citations
Semantic Scholar
An Active Learning Framework for Efficient Condition Severity Classification
N. Nissim, M. Boland, R. Moskovitch, Nicholas P. Tatonetti +3 more
2015Conference on Artificial Intelligence in Medicine in Europe20 citations
Semantic Scholar
CardiWall: A Trusted Firewall for the Detection of Malicious Clinical Programming of Cardiac Implantable Electronic Devices
Matan Kintzlinger, Aviad Cohen, N. Nissim, M. Rav-Acha +4 more
2020IEEE Access18 citations Open access
Semantic Scholar
Securing Linux Cloud Environments: Privacy-Aware Federated Learning Framework for Advanced Malware Detection in Linux Clouds
Tom Landman, N. Nissim
2025IEEE Access17 citations Open access
Semantic Scholar
Inter-Labeler and Intra-Labeler Variability of Condition Severity Classification Models Using Active and Passive Learning Methods
N. Nissim, Yuval Shahar, M. Boland, Nicholas P. Tatonetti +3 more
2017Artif. Intell. Medicine17 citations Open access
Semantic Scholar
Can NeuroIS improve executive employee recruitment? Classifying levels of executive functions using resting state EEG and data science methods
Dor Zazon, L. Fink, Shirley Gordon, N. Nissim
2023Decision Support Systems16 citations
Semantic Scholar
Mind Your Mind
Ofir Landau, Rami Puzis, N. Nissim
2020ACM Computing Surveys16 citations
Semantic Scholar
ASSAF: Advanced and Slim StegAnalysis Detection Framework for JPEG images based on deep convolutional denoising autoencoder and Siamese networks
Assaf Cohen, Aviad Cohen, N. Nissim
2020Neural Networks15 citations
Semantic Scholar
Speech emotion recognition systems and their security aspects
Itzik Gurowiec, N. Nissim
2024Artificial Intelligence Review14 citations Open access
Semantic Scholar
Protein binding to the interferon response enhancer correlates with interferon induction of 2'-5'-oligoadenylate synthetase in normal and interferon-resistant Friend cells
E. Coccia, Daniel Vaiman, J. Raber, G. Marziali +6 more
1991Journal of Virology14 citations Open access
Semantic Scholar
ODU Digital Commons ODU Digital Commons
N. Nissim, Aviad Cohen, Jian Wu, A. Lanzi +3 more
14 citations
Semantic Scholar
Pay Attention: Improving Classification of PE Malware Using Attention Mechanisms Based on System Call Analysis
Ori Or-Meir, Aviad Cohen, Y. Elovici, L. Rokach +1 more
2021IEEE International Joint Conference on Neural Network13 citations
Semantic Scholar
A time-interval-based active learning framework for enhanced PE malware acquisition and detection
Ido Finder, Eitam Sheetrit, N. Nissim
2022Computers & security12 citations
Semantic Scholar
Temporal Pattern Discovery for Accurate Sepsis Diagnosis in ICU Patients
Eitam Sheetrit, N. Nissim, D. Klimov, L. Fuchs +2 more
2017arXiv.org11 citations
Semantic Scholar
Boosting the Detection of Malicious Documents Using Designated Active Learning Methods
N. Nissim, Aviad Cohen, Y. Elovici
2015International Conference on Machine Learning and Applications11 citations
Semantic Scholar

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