1.5k citations · 3.1k across the 169 of their papers we have counts for
17 papers · 1 filter
Detecting Adversarial Perturbations Through Spatial Behavior in Activation Spaces
Ziv Katzir, Yuval Elovici
Neural network based classifiers are still prone to manipulation through adversarial perturbations. State of the art attacks can overcome most of the defense or detection mechanism…
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN
Swee Kiat Lim, Yi Loo, Ngoc-Trung Tran +3
Recently, the introduction of the generative adversarial network (GAN) and its variants has enabled the generation of realistic synthetic samples, which has been used for enlarging…
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…
PIDS - A Behavioral Framework for Analysis and Detection of Network Printer Attacks
Asaf Hecht, Adi Sagi, Yuval Elovici
Nowadays, every organization might be attacked through its network printers. The malicious exploitation of printing protocols is a dangerous and underestimated threat against every…
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…
Insight into Insiders and IT: A Survey of Insider Threat Taxonomies, Analysis, Modeling, and Countermeasures
Ivan Homoliak, Flavio Toffalini, Juan Guarnizo +2
Insider threats are one of today's most challenging cybersecurity issues that are not well addressed by commonly employed security solutions. Despite several scientific works publi…