31 citations · 49 across the 4 of their papers we have counts for
4 papers
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…
CADeSH: Collaborative Anomaly Detection for Smart Homes
Yair Meidan, Dan Avraham, Hanan Libhaber +1
Although home IoT (Internet of Things) devices are typically plain and task oriented, the context of their daily use may affect their traffic patterns. For this reason, anomaly-bas…
Attacking Object Detector Using A Universal Targeted Label-Switch Patch
Avishag Shapira, Ron Bitton, Dan Avraham +3
Adversarial attacks against deep learning-based object detectors (ODs) have been studied extensively in the past few years. These attacks cause the model to make incorrect predicti…
Adversarial Machine Learning Threat Analysis and Remediation in Open Radio Access Network (O-RAN)
Edan Habler, Ron Bitton, Dan Avraham +6
O-RAN is a new, open, adaptive, and intelligent RAN architecture. Motivated by the success of artificial intelligence in other domains, O-RAN strives to leverage machine learning (…