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Author

Nir Nissim

Observed names: Nissim Nir, Nissim, Nir
ORCID: 0000-0003-0652-8861
Observed ORCID: 0000-0003-0652-8861
OpenAlex ID: A5006355294
Dynamic Malware Analysis in the Modern Era—A State of the Art Survey
2019 · Ori Or-Meir, Nir Nissim, et al. · ACM Computing Surveys · 443
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Trusted detection of ransomware in a private cloud using machine learning methods leveraging meta-features from volatile memory
2018 · Aviad Cohen, Nir Nissim · Expert Systems with Applications · 137
Novel active learning methods for enhanced PC malware detection in windows OS
2014 · Nir Nissim, Robert Moskovitch, et al. · Expert Systems with Applications · 122
Unknown malcode detection via text categorization and the imbalance problem
2008 · Robert Moskovitch, Dima Stopel, et al. · IEEE International Conference on Intelligence and Security Informatics (ISI) · 106
ALDOCX: Detection of Unknown Malicious Microsoft Office Documents Using Designated Active Learning Methods Based on New Structural Feature Extraction Methodology
2016 · Nir Nissim, Aviad Cohen, et al. · IEEE Transactions on Information Forensics and Security · 101
Detection of malicious PDF files and directions for enhancements: A state-of-the art survey
2014 · Nir Nissim, Aviad Cohen, et al. · Computers & Security · 100
USB-based attacks
2017 · Nir Nissim, Ran Yahalom, et al. · Computers & Security · 90
SFEM: Structural feature extraction methodology for the detection of malicious office documents using machine learning methods
2016 · Aviad Cohen, Nir Nissim, et al. · Expert Systems with Applications · 79
Unknown malcode detection and the imbalance problem
2009 · Robert Moskovitch, Dima Stopel, et al. · Journal of Computer Virology and Hacking Techniques · 69
Improving malicious email detection through novel designated deep-learning architectures utilizing entire email
2022 · Trivikram Muralidharan, Nir Nissim · Neural Networks · 65
Leveraging malicious behavior traces from volatile memory using machine learning methods for trusted unknown malware detection in Linux cloud environments
2021 · Tomer Panker, Nir Nissim · Knowledge-Based Systems · 64
Detecting unknown computer worm activity via support vector machines and active learning
2012 · Nir Nissim, Robert Moskovitch, et al. · Pattern Analysis and Applications · 63
MalJPEG: Machine Learning Based Solution for the Detection of Malicious JPEG Images
2020 · Aviad Cohen, Nir Nissim, et al. · IEEE Access · 56
The infinite race between steganography and steganalysis in images
2022 · Trivikram Muralidharan, Aviad Cohen, et al. · Signal Processing · 53
Deep feature transfer learning for trusted and automated malware signature generation in private cloud environments
2020 · Daniel Nahmias, Aviad Cohen, et al. · Neural Networks · 52
File Packing from the Malware Perspective: Techniques, Analysis Approaches, and Directions for Enhancements
2022 · Trivikram Muralidharan, Aviad Cohen, et al. · ACM Computing Surveys · 51
Trusted system-calls analysis methodology aimed at detection of compromised virtual machines using sequential mining
2018 · Nir Nissim, Yuval Lapidot, et al. · Knowledge-Based Systems · 51
Temporal Probabilistic Profiles for Sepsis Prediction in the ICU
2019 · Eitam Sheetrit, Nir Nissim, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 50
ALDROID: efficient update of Android anti-virus software using designated active learning methods
2016 · Nir Nissim, Robert Moskovitch, et al. · Knowledge and Information Systems · 50
Mind Your Mind
2020 · Ofir Landau, Rami Puzis, et al. · ACM Computing Surveys · 48
Deep-Hook: A trusted deep learning-based framework for unknown malware detection and classification in Linux cloud environments
2021 · Tom Landman, Nir Nissim · Neural Networks · 47
Volatile memory analysis using the MinHash method for efficient and secured detection of malware in private cloud
2019 · Nir Nissim, Omri Lahav, et al. · Computers & Security · 46
Mind your privacy: Privacy leakage through BCI applications using machine learning methods
2020 · Ofir Landau, Aviad Cohen, et al. · Knowledge-Based Systems · 45
Novel set of general descriptive features for enhanced detection of malicious emails using machine learning methods
2018 · Aviad Cohen, Nir Nissim, et al. · Expert Systems with Applications · 42
ALPD: Active Learning Framework for Enhancing the Detection of Malicious PDF Files
2014 · Nir Nissim, Aviad Cohen, et al. · 42
Works count: 66
Citation count: 2,769
H-index: 32
I10-index: 51
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