12 citations · 13 across the 10 of their papers we have counts for
10 papers
When to Trust the Map: Confidence-Aware LLM Routing for Automotive CVE-to-ATM Mapping
Heeyun Heo, Sangmin Park, Huy Kang Kim +1
Public CVE descriptions report the technical conditions and impact of vulnerabilities, whereas the Auto-ISAC Automotive Threat Matrix (ATM) expresses an adversary's tactics and tec…
GARAGE: Characterizing the Automation Boundary in LLM-based Attack Graph Generation
Daekwon Pi, Sangho Lee, Young Hun Lee +1
While modern vehicle security depends on effective Cyber Threat Intelligence (CTI) synthesis, current automated tools struggle with unstructured data and automotive-specific archit…
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…
Autoencoder-based Denoising Defense against Adversarial Attacks on Object Detection
Min Geun Song, Gang Min Kim, Woonmin Kim +4
Deep learning-based object detection models play a critical role in real-world applications such as autonomous driving and security surveillance systems, yet they remain vulnerable…
Expanding the Attack Scenarios of SAE J1939: A Comprehensive Analysis of Established and Novel Vulnerabilities in Transport Protocol
Hwejae Lee, Hyosun Lee, Saehee Jun +1
Following the enactment of the UN Regulation, substantial efforts have been directed toward implementing intrusion detection and prevention systems (IDPSs) and vulnerability analys…
AI-based Attack Graph Generation
Sangbeom Park, Jaesung Lee, Jeong Do Yoo +5
With the advancement of IoT technology, many electronic devices are interconnected through networks, communicating with each other and performing specific roles. However, as numero…
C-ITS Environment Modeling and Attack Modeling
Jaewoong Choi, Min Geun Song, Hyosun Lee +5
As technology advances, cities are evolving into smart cities, with the ability to process large amounts of data and the increasing complexity and diversification of various elemen…
RTPS Attack Dataset Description
Dong Young Kim, Dongsung Kim, Yuchan Song +4
This paper explains all about our RTPS datasets. We collect malicious/benign packet data by injecting attack data in an Unmanned Ground Vehicle (UGV) in the normal state. We assemb…
Defining C-ITS Environment and Attack Scenarios
Yongsik Kim, Jae Woong Choi, Hyo Sun Lee +5
As technology advances, it is possible to process a lot of data, and as various elements in the city become diverse and complex, cities are becoming smart cities. One of the core s…
UAVCAN Dataset Description
Dongsung Kim, Yuchan Song, Soonhyeon Kwon +3
We collected attack data from unmanned vehicles using the UAVCAN protocol, and public and described technical documents. A testbed was built with a drone using PX4, and a total of…