Yair Meidan

According to our database, Yair Meidan authored at least 19 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

ImpReSS: Implicit Recommender System for Support Conversations.

Omri Haller, Yair Meidan, Dudu Mimran, Yuval Elovici, Asaf Shabtai

CoRR, June, 2025

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, June, 2025

2024

GenKubeSec: LLM-Based Kubernetes Misconfiguration Detection, Localization, Reasoning, and Remediation.

Ehud Malul, Yair Meidan, Dudu Mimran, Yuval Elovici, Asaf Shabtai

CoRR, 2024

2023

CADeSH: Collaborative Anomaly Detection for Smart Homes.

Yair Meidan, Dan Avraham, Hanan Libhaber, Asaf Shabtai

IEEE Internet Things J., May, 2023

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., March, 2023

2022

CADeSH Dataset: Collaborative Anomaly Detection for Smart Homes.

Yair Meidan, Dan Avraham, Hanan Libhaber, Asaf Shabtai

Dataset, April, 2022

2021

DeepStream: Autoencoder-based stream temporal clustering and anomaly detection.

Shimon Harush, Yair Meidan, Asaf Shabtai

Comput. Secur., 2021

DeepStream: autoencoder-based stream temporal clustering.

Shimon Harush, Yair Meidan, Asaf Shabtai

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

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

Dataset, September, 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

Dataset, July, 2020

Botnet IND: About Botnets of Botless IoT Devices.

Ben Nassi, Yair Meidan, Dudi Nassi, Asaf Shabtai, Yuval Elovici

IACR Cryptol. ePrint Arch., 2020

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

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

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

2018

detection_of_IoT_botnet_attacks_N_BaIoT.

Yair Meidan, Michael Bohadana, Yael Mathov, Yisroel Mirsky, Dominik Breitenbacher, Asaf, Asaf Shabtai

Dataset, March, 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

Piping Botnet - Turning Green Technology into a Water Disaster.

Ben Nassi, Moshe Sror, Ido Lavi, Yair Meidan, Asaf Shabtai, Yuval Elovici

CoRR, 2018

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

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

Proceedings of the Symposium on Applied Computing, 2017