activity
20162026
most citedX-CANIDS: Signal-Aware Explainable Intrusion Detection System for Controller Area Network-Based In-Vehicle Network

67 citations · 77 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2026

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…

cs.CR2026

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…

cs.CR2026

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…

cs.CR2023★ 67 cited

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)…

cs.CR2021★ 10 cited

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…

cs.CY2016

Multimodal Game Bot Detection using User Behavioral Characteristics

Ah Reum Kang, Seong Hoon Jeong, Aziz Mohaisen +1

As the online service industry has continued to grow, illegal activities in the online world have drastically increased and become more diverse. Most illegal activities occur conti…