530 citations · 746 across the 10 of their papers we have counts for
15 papers · 1 filter
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)…
Liuer Mihou: A Practical Framework for Generating and Evaluating Grey-box Adversarial Attacks against NIDS
Ke He, Dan Dongseong Kim, Jing Sun +3
Due to its high expressiveness and speed, Deep Learning (DL) has become an increasingly popular choice as the detection algorithm for Network-based Intrusion Detection Systems (NID…
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…
Unsupervised Intrusion Detection System for Unmanned Aerial Vehicle with Less Labeling Effort
Kyung Ho Park, Eunji Park, Huy Kang Kim
Along with the importance of safety, an IDS has become a significant task in the real world. Prior studies proposed various intrusion detection models for the UAV. Past rule-based…
Beyond PS-LTE: Security Model Design Framework for PPDR Operational Environment
Daegeon Kim, Do Hyung Gu, Huy Kang Kim
National disasters can threaten national security and require several organizations to integrate the functionalities to correspond to the event. Many countries are constructing a n…
This Car is Mine!: Automobile Theft Countermeasure Leveraging Driver Identification with Generative Adversarial Networks
Kyung Ho Park, Huy Kang Kim
As a car becomes more connected, a countermeasure against automobile theft has become a significant task in the real world. To respond to automobile theft, data mining, biometrics,…