8 citations · 8 across the 4 of their papers we have counts for
4 papers
Advancing CAN Network Security through RBM-Based Synthetic Attack Data Generation for Intrusion Detection Systems
Huacheng Li, Jingyong Su, Kai Wang
The rapid development of network technologies and industrial intelligence has augmented the connectivity and intelligence within the automotive industry. Notably, in the Internet o…
ATHENA: An In-vehicle CAN Intrusion Detection Framework Based on Physical Characteristics of Vehicle Systems
Kai Wang, Zhen Sun, Bailing Wang +3
With the growing interconnection between In-Vehicle Networks (IVNs) and external environments, intelligent vehicles are increasingly vulnerable to sophisticated external network at…
TFLAG:Towards Practical APT Detection via Deviation-Aware Learning on Temporal Provenance Graph
Wenhan Jiang, Tingting Chai, Hongri Liu +2
Advanced Persistent Threat (APT) have grown increasingly complex and concealed, posing formidable challenges to existing Intrusion Detection Systems in identifying and mitigating t…
Scenario Diffusion: Controllable Driving Scenario Generation With Diffusion
Ethan Pronovost, Meghana Reddy Ganesina, Noureldin Hendy +4
Automated creation of synthetic traffic scenarios is a key part of validating the safety of autonomous vehicles (AVs). In this paper, we propose Scenario Diffusion, a novel diffusi…