Personal profile
Research interests
Cyber Security, Malware Detection, Machine Learning, Data Science , Bioemdical Informatics, Computational Neuroscience
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Collaborations and top research areas from the last five years
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DLLicious: detection and explainability of malicious DLL files using novel static feature extraction methods
Yevsikov, A. & Nissim, N., 15 Jul 2026, In: Expert Systems with Applications. 320, 132188.Research output: Contribution to journal › Article › peer-review
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Can your brain signals reveal your romantic emotions?
Zazon, D. & Nissim, N., 1 Sep 2025, In: Computers in Biology and Medicine. 196, 110754.Research output: Contribution to journal › Article › peer-review
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Improving Generalization Capabilities of Models Trained on Time Series Data Using Novel Downsampling Methods
Landau, O. & Nissim, N., 1 Jan 2025, Proceedings - 25th IEEE International Conference on Data Mining, ICDM 2025. Ding, W., Vreeken, J., Lu, C.-T., Gunopulos, D. & Wu, X. (eds.). Institute of Electrical and Electronics Engineers, p. 407-416 10 p. (Proceedings - IEEE International Conference on Data Mining, ICDM).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Improving speech emotion recognition capabilities in the short and long term using temporal bucketing and active learning
Gurowiec, I. & Nissim, N., 1 Sep 2025, In: Computers in Biology and Medicine. 196, 110912.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Mining multi-electrode and multi-wave electroencephalogram based time-interval temporal patterns for improved classification capabilities and explainability
Landau, O. & Nissim, N., 1 Dec 2025, In: Artificial Intelligence in Medicine. 170, 103269.Research output: Contribution to journal › Article › peer-review
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Securing Linux Cloud Environments: Privacy-Aware Federated Learning Framework for Advanced Malware Detection in Linux Clouds
Landman, T. & Nissim, N., 1 Jan 2025, In: IEEE Access. 13, p. 30377-30394 18 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations -
Bon-APT: Detection, attribution, and explainability of APT malware using temporal segmentation of API calls
Shenderovitz, G. & Nissim, N., 1 Jul 2024, In: Computers and Security. 142, 103862.Research output: Contribution to journal › Article › peer-review
25 Scopus citations -
CADefender: Detection of unknown malicious AutoLISP computer-aided design files using designated feature extraction and machine learning methods
Yevsikov, A., Muralidharan, T., Panker, T. & Nissim, N., 1 Dec 2024, In: Engineering Applications of Artificial Intelligence. 138, 109414.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
MinCloud: Trusted and transferable MinHash-based framework for unknown malware detection for Linux cloud environments
Panker, T., Cohen, A., Landman, T., Bery, C. & Nissim, N., 1 Dec 2024, In: Journal of Information Security and Applications. 87, 103907.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
Patterns of time-interval based patterns for improved multivariate time series data classification
Shenderovitz, G., Sheetrit, E. & Nissim, N., 1 Jul 2024, In: Engineering Applications of Artificial Intelligence. 133, 108171.Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Thesis
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An Active Learning Framework for Efficient Acquisition and Detection of Unknown Malware
Nissim, N. (Author), Elovici, Y. (Supervisor), 2016Student thesis: Doctoral Thesis