67 citations · 77 across the 6 of their papers we have counts for
5 papers · 1 filter
X-SPUR: Explainable Surprisal-Based Protocol-Aware Unsupervised Reasoning for Automotive Ethernet Intrusion Detection
Jisoo Kim, Seonghoon Jeong
Automotive Ethernet carries heterogeneous multi-protocol traffic in modern in-vehicle networks, where labeled attack data are rarely available and the strongest prior unsupervised…
DRIFT: Drift-Resilient Invariant-Feature Transformer for DGA Detection
Chaeyoung Lee, Chaeri Jung, Seonghoon Jeong
Domain Generation Algorithms (DGAs) evolve continuously to evade botnet detection, posing a persistent challenge for dependable network defense. While deep learning-based detectors…
The Vehicle May Be Sick: Denial of Diagnostic Services by Exploiting the CAN Transport Protocol
Seungjin Baek, Seonghoon Jeong, Huy Kang Kim
Vehicle diagnostics has become essential for detecting in-vehicle errors and ensuring safety. While the Unified Diagnostic Services (UDS) protocol is widely adopted for diagnostic…
X-CANIDS: Signal-Aware Explainable Intrusion Detection System for Controller Area Network-Based In-Vehicle Network
Seonghoon Jeong, Sangho Lee, Hwejae Lee +1
Controller Area Network (CAN) is an essential networking protocol that connects multiple electronic control units (ECUs) in a vehicle. However, CAN-based in-vehicle networks (IVNs)…
Convolutional Neural Network-based Intrusion Detection System for AVTP Streams in Automotive Ethernet-based Networks
Seonghoon Jeong, Boosun Jeon, Boheung Chung +1
Connected and autonomous vehicles (CAVs) are an innovative form of traditional vehicles. Automotive Ethernet replaces the controller area network and FlexRay to support the large t…