1.5k citations · 2.4k across the 38 of their papers we have counts for
4 papers · 1 filter
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…
CIoTA: Collaborative IoT Anomaly Detection via Blockchain
Tomer Golomb, Yisroel Mirsky, Yuval Elovici
Due to their rapid growth and deployment, Internet of things (IoT) devices have become a central aspect of our daily lives. However, they tend to have many vulnerabilities which ca…
Vesper: Using Echo-Analysis to Detect Man-in-the-Middle Attacks in LANs
Yisroel Mirsky, Naor Kalbo, Yuval Elovici +1
The Man-in-the-Middle (MitM) attack is a cyber-attack in which an attacker intercepts traffic, thus harming the confidentiality, integrity, and availability of the network. It rema…
Kitsune: An Ensemble of Autoencoders for Online Network Intrusion Detection
Yisroel Mirsky, Tomer Doitshman, Yuval Elovici +1
Neural networks have become an increasingly popular solution for network intrusion detection systems (NIDS). Their capability of learning complex patterns and behaviors make them a…