Sungwoo Kim 0005

dblp:145/6643-5 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2023
0000-0001-8584-7419ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 2 · 1 first-author · 2 since 2021
YearPublicationVenuePosition
2023 Fuzz The Power: Dual-role State Guided Black-box Fuzzing for USB Power Delivery
Kyungtae Kim, Sungwoo Kim 0005, Kevin R. B. Butler, Antonio Bianchi, Rick Kennell, Jing (Dave) Tian
USENIX Security Symposium2
2022 ShadowAuth: Backward-Compatible Automatic CAN Authentication for Legacy ECUs
abstract
Controller Area Network (CAN) is the de-facto standard in-vehicle network system. Despite its wide adoption by automobile manufacturers, the lack of security design makes it vulnerable to attacks. For instance, broadcasting packets without authentication allows the impersonation of electronic control units (ECUs). Prior mitigations, such as message authentication or intrusion detection systems, fail to address the compatibility requirement with legacy ECUs, stealthy and sporadic malicious messaging, or guaranteed attack detection. We propose a novel authentication system called ShadowAuth that overcomes the aforementioned challenges by offering backwardcompatible packet authentication to ECUs without requiring ECU firmware source code. Specifically, our authentication scheme provides transparent CAN packet authentication without modifying existing CAN packet definitions (e.g., J1939) via automatic ECU firmware instrumentation technique to locate CAN packet transmission code, and instrument authentication code based on the CAN packet behavioral transmission patterns. ShadowAuth enables vehicles to detect state-of-the-art CAN attacks, such as busoff and packet injection, responsively within 60ms without false positives. ShadowAuth provides a sound and deployable solution for real-world ECUs.
Sungwoo Kim 0005, Gisu Yeo, Taegyu Kim, Junghwan Rhee, Yuseok Jeon, Antonio Bianchi, Dongyan Xu, Jing (Dave) Tian
AsiaCCS1