Research output per year
Research output per year
Personal profile
Research interests
I am a Professor at the Department of Information Systems Engineering at Ben-Gurion University.
My main research interests are in the fields of Machine Learning, Data Mining, Temporal Data Mining Recommender Systems, Cyber Security, Fraud Detection, Customer Analytics and Social Network.
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Adversarial Machine Learning Threat Analysis in Open Radio Access Networks.
Bitton, R., Avraham, D., Klevansky, E., Mimran, D., Brodt, O., Lehmann, H., Elovici, Y. & Shabtai, A., 2022, (CoRR).Research output: Working paper/Preprint › Preprint
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AnoMili: Spoofing Prevention and Explainable Anomaly Detection for the 1553 Military Avionic Bus
Levy, E., Maman, N., Shabtai, A. & Elovici, Y., 14 Feb 2022.Research output: Working paper/Preprint › Preprint
File27 Downloads (Pure) -
Contextual security awareness: A context-based approach for assessing the security awareness of users
Solomon, A., Michaelshvili, M., Bitton, R., Shapira, B., Rokach, L., Puzis, R. & Shabtai, A., 21 Jun 2022, In: Knowledge-Based Systems. 246, 108709.Research output: Contribution to journal › Article › peer-review
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Cost-effective ensemble models selection using deep reinforcement learning
Birman, Y., Hindi, S., Katz, G. & Shabtai, A., 1 Jan 2022, In: Information Fusion. 77, p. 133-148 16 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Evaluating the Security of Open Radio Access Networks
Mimran, D., Bitton, R., Kfir, Y., Klevansky, E., Brodt, O., Lehmann, H., Elovici, Y. & Shabtai, A., 1 Jan 2022.Research output: Working paper/Preprint › Preprint
File31 Downloads (Pure) -
Fair and Accurate Age Prediction Using Distribution Aware Data Curation and Augmentation
Cao, Y., Berend, D., Tolmach, P., Amit, G., Levy, M., Liu, Y., Shabtai, A. & Elovici, Y., 2022, Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022. Institute of Electrical and Electronics Engineers Inc., p. 2867-2877 11 p. (Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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How and when to stop the co-training process
Grolman, E., Cohen, D., Frenklach, T., Shabtai, A. & Puzis, R., 1 Jan 2022, In: Expert Systems with Applications. 187, 115841.Research output: Contribution to journal › Article › peer-review
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Not all datasets are born equal: On heterogeneous tabular data and adversarial examples
Mathov, Y., Levy, E., Katzir, Z., Shabtai, A. & Elovici, Y., 22 Apr 2022, In: Knowledge-Based Systems. 242, 108377.Research output: Contribution to journal › Article › peer-review
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On The Vulnerability of Anti-Malware Solutions to DNS Attacks
Nadler, A., Bitton, R., Brodt, O. & Shabtai, A., 1 May 2022, In: Computers and Security. 116, 102687.Research output: Contribution to journal › Article › peer-review
File28 Downloads (Pure) -
Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain
Rosenberg, I., Shabtai, A., Elovici, Y. & Rokach, L., 1 Jun 2021, In: ACM Computing Surveys. 54, 5, 3453158.Research output: Contribution to journal › Review article › peer-review
3 Scopus citations