1.5k citations · 1.7k across the 11 of their papers we have counts for
8 papers · 1 filter
SecMate: Multi-Agent Adaptive Cybersecurity Troubleshooting with Tri-Context Personalization
Yair Meidan, Omri Haller, Yulia Moshan +4
Recent advances in large language models and agentic frameworks have enabled virtual customer assistants (VCAs) for complex support. We present SecMate, a multi-agent VCA for cyber…
KubeGuard: LLM-Assisted Kubernetes Hardening via Configuration Files and Runtime Logs Analysis
Omri Sgan Cohen, Ehud Malul, Yair Meidan +3
The widespread adoption of Kubernetes (K8s) for orchestrating cloud-native applications has introduced significant security challenges, such as misconfigured resources and overly p…
GenKubeSec: LLM-Based Kubernetes Misconfiguration Detection, Localization, Reasoning, and Remediation
Ehud Malul, Yair Meidan, Dudu Mimran +2
A key challenge associated with Kubernetes configuration files (KCFs) is that they are often highly complex and error-prone, leading to security vulnerabilities and operational set…
D-Score: An Expert-Based Method for Assessing the Detectability of IoT-Related Cyber-Attacks
Yair Meidan, Daniel Benatar, Ron Bitton +2
IoT devices are known to be vulnerable to various cyber-attacks, such as data exfiltration and the execution of flooding attacks as part of a DDoS attack. When it comes to detectin…
Privacy-Preserving Detection of IoT Devices Connected Behind a NAT in a Smart Home Setup
Yair Meidan, Vinay Sachidananda, Yuval Elovici +1
Today, telecommunication service providers (telcos) are exposed to cyber-attacks executed by compromised IoT devices connected to their customers' networks. Such attacks might have…
Piping Botnet - Turning Green Technology into a Water Disaster
Ben Nassi, Moshe Sror, Ido Lavi +3
The current generation of IoT devices is being used by clients and consumers to regulate resources (such as water and electricity) obtained from critical infrastructure (such as ur…
N-BaIoT: Network-based Detection of IoT Botnet Attacks Using Deep Autoencoders
Yair Meidan, Michael Bohadana, Yael Mathov +4
The proliferation of IoT devices which can be more easily compromised than desktop computers has led to an increase in the occurrence of IoT based botnet attacks. In order to mitig…
Detection of Unauthorized IoT Devices Using Machine Learning Techniques
Yair Meidan, Michael Bohadana, Asaf Shabtai +4
Security experts have demonstrated numerous risks imposed by Internet of Things (IoT) devices on organizations. Due to the widespread adoption of such devices, their diversity, sta…