| N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders Y Meidan, M Bohadana, Y Mathov, Y Mirsky, A Shabtai, D Breitenbacher, ... IEEE Pervasive Computing 17 (3), 12-22, 2018 | 1456 | 2018 |
| ProfilIoT: a machine learning approach for IoT device identification based on network traffic analysis Y Meidan, M Bohadana, A Shabtai, JD Guarnizo, M Ochoa, ... Proceedings of the Symposium on Applied Computing, 506-509, 2017 | 507 | 2017 |
| Detection of Unauthorized IoT Devices Using Machine Learning Techniques Y Meidan, M Bohadana, A Shabtai, M Ochoa, NO Tippenhauer, ... arXiv preprint arXiv:1709.04647, 2017 | 305 | 2017 |
| Security testbed for Internet-of-Things devices S Siboni, V Sachidananda, Y Meidan, M Bohadana, Y Mathov, S Bhairav, ... IEEE Transactions on Reliability 68 (1), 23-44, 2019 | 220 | 2019 |
| Cycle-time key factor identification and prediction in semiconductor manufacturing using machine learning and data mining Y Meidan, B Lerner, G Rabinowitz, M Hassoun IEEE Transactions on Semiconductor Manufacturing 24 (2), 237-248, 2011 | 113 | 2011 |
| A novel approach for detecting vulnerable IoT devices connected behind a home NAT Y Meidan, V Sachidananda, H Peng, R Sagron, Y Elovici, A Shabtai Computers & Security 97, 101968, 2020 | 88* | 2020 |
| DeepStream: Autoencoder-based stream temporal clustering and anomaly detection S Harush, Y Meidan, A Shabtai Computers & Security 106, 102276, 2021 | 18 | 2021 |
| Data Mining for Cycle Time Key Factor Identification and Prediction in Semiconductor Manufacturing Y Meidan, B Lerner, M Hassoun, G Rabinowitz IFAC Proceedings Volumes 42 (4), 217-222, 2009 | 14 | 2009 |
| METHOD AND APPARATUS FOR DETERMINING AN IDENTITY OF AN UNKNOWN INTERNET-OF-THINGS (IoT) DEVICE IN A COMMUNICATION NETWORK M Ochoa, NO Tippenhauer, J Guarnizo, Y Elovici, A Shabtai, M Bohadana, ... US Patent App. 16/489,691, 2020 | 13 | 2020 |
| CADeSH: Collaborative anomaly detection for smart homes Y Meidan, D Avraham, H Libhaber, A Shabtai IEEE Internet of Things Journal 10 (10), 8514-8532, 2022 | 9 | 2022 |
| D-Score: An expert-based method for assessing the detectability of IoT-related cyber-attacks Y Meidan, D Benatar, R Bitton, D Avraham, A Shabtai Computers & Security 126, 103073, 2023 | 6 | 2023 |
| Piping Botnet-Turning Green Technology into a Water Disaster B Nassi, M Sror, I Lavi, Y Meidan, A Shabtai, Y Elovici arXiv preprint arXiv:1808.02131, 2018 | 4 | 2018 |
| DeepStream: autoencoder-based stream temporal clustering S Harush, Y Meidan, A Shabtai Proceedings of the 36th Annual ACM Symposium on Applied Computing, 445-448, 2021 | 2 | 2021 |
| IoT-deNAT: Outbound flow-based network traffic data of IoT and non-IoT devices behind a home NAT Y Meidan, V Sachidananda, H Peng, R Sagron, Y Elovici, A Shabtai https://zenodo.org/record/3924770, 2020 | 2 | 2020 |
| GenKubeSec: LLM-Based Kubernetes Misconfiguration Detection, Localization, Reasoning, and Remediation E Malul, Y Meidan, D Mimran, Y Elovici, A Shabtai arXiv preprint arXiv:2405.19954, 2024 | 1 | 2024 |
| CADeSH Dataset: Collaborative Anomaly Detection for Smart Homes Y Meidan, D Avraham, H Libhaber, A Shabtai https://doi.org/10.5281/zenodo.6406052, 2022 | | 2022 |
| Dataset: Responses to AHP-style questionnaires regarding the publication "D-Score: A Novel Expert-Based Method for Assessing the Detectability of IoT-Related Cyber-Attacks" Y Meidan, D Benatar, R Biton, A Shabtai https://zenodo.org/record/4018614, 2020 | | 2020 |
| Botnet IND: About Botnets of Botless IoT Devices B Nassi, Y Meidan, D Nassi, A Shabtai, Y Elovici Cryptology ePrint Archive, 2020 | | 2020 |
| Identifying and Quantifying Factors Affecting Waiting Time and Its Prediction in Manufacturing Fabs Using Machine Learning Y Meidan Ben Gurion University of the Negev, 2009 | | 2009 |
Asaf ShabtaiSoftware and Information Systems Engineering, Telekom Innovation Labs, Ben Gurion UniversityVerified email at bgu.ac.il
