ProfilIoT: a machine learning approach for IoT device identification based on network traffic analysis. - Yair Meidan; Michael Bohadana; Asaf Shabtai; Juan David Guarnizo; Martín Ochoa; Nils Ole Tippenhauer; Yuval Elovici (SAC, 2017)

Detection of Unauthorized IoT Devices Using Machine Learning Techniques. - Yair Meidan; Michael Bohadana; Asaf Shabtai; Martín Ochoa; Nils Ole Tippenhauer; Juan David Guarnizo; Yuval Elovici (CoRR, 2017)

Piping Botnet - Turning Green Technology into a Water Disaster. - Ben Nassi; Moshe Sror; Ido Lavi; Yair Meidan; Asaf Shabtai; Yuval Elovici (CoRR, 2018)

N-BaIoT - Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders. - Yair Meidan; Michael Bohadana; Yael Mathov; Yisroel Mirsky; Asaf Shabtai; Dominik Breitenbacher; Yuval Elovici (IEEE Pervasive Comput., 2018)

detection_of_IoT_botnet_attacks_N_BaIoT. - Yair Meidan; Michael Bohadana; Yael Mathov; Yisroel Mirsky; Dominik Breitenbacher; Asaf; Asaf Shabtai (UCI Machine Learning Repository, 2018)

Privacy-Preserving Detection of IoT Devices Connected Behind a NAT in a Smart Home Setup. - Yair Meidan; Vinay Sachidananda; Yuval Elovici; Asaf Shabtai (CoRR, 2019)

Security Testbed for Internet-of-Things Devices. - Shachar Siboni; Vinay Sachidananda; Yair Meidan; Michael Bohadana; Yael Mathov; Suhas Bhairav; Asaf Shabtai; Yuval Elovici (IEEE Trans. Reliab., 2019)

A novel approach for detecting vulnerable IoT devices connected behind a home NAT. - Yair Meidan; Vinay Sachidananda; Hongyi Peng; Racheli Sagron; Yuval Elovici; Asaf Shabtai (Comput. Secur., 2020)

Botnet IND: About Botnets of Botless IoT Devices. - Ben Nassi; Yair Meidan; Dudi Nassi; Asaf Shabtai; Yuval Elovici (IACR Cryptol. ePrint Arch., 2020)

IoT-deNAT: Outbound flow-based network traffic data of IoT and non-IoT devices behind a home NAT. - Yair Meidan; Vinay Sachidananda; Hongyi Peng; Racheli Sagron; Yuval Elovici; Asaf Shabtai (Zenodo, 2020)

Responses to AHP-style questionnaires regarding the publication "D-Score: An Expert-Based Method for Assessing the Detectability of IoT-Related Cyber-Attacks". - Yair Meidan; Daniel Benatar; Ron Biton; Asaf Shabtai (Zenodo, 2020)

DeepStream: autoencoder-based stream temporal clustering. - Shimon Harush; Yair Meidan; Asaf Shabtai (SAC, 2021)

DeepStream: Autoencoder-based stream temporal clustering and anomaly detection. - Shimon Harush; Yair Meidan; Asaf Shabtai (Comput. Secur., 2021)

CADeSH Dataset: Collaborative Anomaly Detection for Smart Homes. - Yair Meidan; Dan Avraham; Hanan Libhaber; Asaf Shabtai (Zenodo, 2022)

D-Score: An expert-based method for assessing the detectability of IoT-related cyber-attacks. - Yair Meidan; Daniel Benatar; Ron Bitton; Dan Avraham; Asaf Shabtai (Comput. Secur., 2023)

CADeSH: Collaborative Anomaly Detection for Smart Homes. - Yair Meidan; Dan Avraham; Hanan Libhaber; Asaf Shabtai (IEEE Internet Things J., 2023)

GenKubeSec: LLM-Based Kubernetes Misconfiguration Detection, Localization, Reasoning, and Remediation. - Ehud Malul; Yair Meidan; Dudu Mimran; Yuval Elovici; Asaf Shabtai (CoRR, 2024)

ProfiLLM: An LLM-Based Framework for Implicit Profiling of Chatbot Users. - Shahaf David; Yair Meidan; Ido Hersko; Daniel Varnovitzky; Dudu Mimran; Yuval Elovici; Asaf Shabtai (CoRR, 2025)

ImpReSS: Implicit Recommender System for Support Conversations. - Omri Haller; Yair Meidan; Dudu Mimran; Yuval Elovici; Asaf Shabtai (CoRR, 2025)