Poster: Automated Discovery of Sensor Spoofing Attacks on Robotic Vehicles

Kyeongseok Yang; Sudharssan Mohan; Yonghwi Kwon; Heejo Lee; Chung Hwan Kim

doi:10.1145/3548606.3563551

Poster: Automated Discovery of Sensor Spoofing Attacks on Robotic Vehicles

Kyeongseok Yang, Sudharssan Mohan, Yonghwi Kwon, Heejo Lee, Chung Hwan Kim

Department of Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Robotic vehicles are playing an increasingly important role in our daily life. Unfortunately, attackers have demonstrated various sensor spoofing attacks that interfere with robotic vehicle operations, imposing serious threats. Thus, it is crucial to discover such attacks earlier than attackers so that developers can secure the vehicles. In this paper, we propose a new sensor fuzzing framework SensorFuzz that can systematically discover potential sensor spoofing attacks on robotic vehicles. It generates malicious sensor inputs by formally modeling the existing sensor attacks and leveraging high-fidelity vehicle simulation, and then analyzes the impact of the inputs on the vehicle with a resilience-based feedback mechanism.

Original language	English
Title of host publication	CCS 2022 - Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security
Publisher	Association for Computing Machinery
Pages	3503-3505
Number of pages	3
ISBN (Electronic)	9781450394505
DOIs	https://doi.org/10.1145/3548606.3563551
Publication status	Published - 2022 Nov 7
Event	28th ACM SIGSAC Conference on Computer and Communications Security, CCS 2022 - Los Angeles, United States Duration: 2022 Nov 7 → 2022 Nov 11

Publication series

Name	Proceedings of the ACM Conference on Computer and Communications Security
ISSN (Print)	1543-7221

Conference

Conference	28th ACM SIGSAC Conference on Computer and Communications Security, CCS 2022
Country/Territory	United States
City	Los Angeles
Period	22/11/7 → 22/11/11

Bibliographical note

Funding Information:
ACKNOWLEDGMENT We thank the anonymous reviewers for their insightful feedback. This work was supported in part by the University of Texas at Dallas Office of Research through the NFRS program, NSF under award number 190821, Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No.2019-0-01697 Development of Automated Vulnerability Discovery Technologies for Blockchain Platform Security, No.2022-0-00277 Development of SBOM Technologies for Securing Software Supply Chains, No.2022-0-01198 Convergence Security Core Talent Training Business, and No.IITP-2022-2020-0-01819 ICT Creative Consilience programs), and a gift from Cisco Systems.

Publisher Copyright:
© 2022 Owner/Author.

Keywords

fuzzing
robotic vehicle
sensor spoofing

ASJC Scopus subject areas

Software
Computer Networks and Communications

Access to Document

10.1145/3548606.3563551

Cite this

Yang, K., Mohan, S., Kwon, Y., Lee, H., & Kim, C. H. (2022). Poster: Automated Discovery of Sensor Spoofing Attacks on Robotic Vehicles. In CCS 2022 - Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security (pp. 3503-3505). (Proceedings of the ACM Conference on Computer and Communications Security). Association for Computing Machinery. https://doi.org/10.1145/3548606.3563551

Poster: Automated Discovery of Sensor Spoofing Attacks on Robotic Vehicles. / Yang, Kyeongseok; Mohan, Sudharssan; Kwon, Yonghwi et al.
CCS 2022 - Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery, 2022. p. 3503-3505 (Proceedings of the ACM Conference on Computer and Communications Security).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Yang, K, Mohan, S, Kwon, Y, Lee, H & Kim, CH 2022, Poster: Automated Discovery of Sensor Spoofing Attacks on Robotic Vehicles. in CCS 2022 - Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. Proceedings of the ACM Conference on Computer and Communications Security, Association for Computing Machinery, pp. 3503-3505, 28th ACM SIGSAC Conference on Computer and Communications Security, CCS 2022, Los Angeles, United States, 22/11/7. https://doi.org/10.1145/3548606.3563551

Yang K, Mohan S, Kwon Y, Lee H, Kim CH. Poster: Automated Discovery of Sensor Spoofing Attacks on Robotic Vehicles. In CCS 2022 - Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery. 2022. p. 3503-3505. (Proceedings of the ACM Conference on Computer and Communications Security). doi: 10.1145/3548606.3563551

Yang, Kyeongseok ; Mohan, Sudharssan ; Kwon, Yonghwi et al. / Poster : Automated Discovery of Sensor Spoofing Attacks on Robotic Vehicles. CCS 2022 - Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery, 2022. pp. 3503-3505 (Proceedings of the ACM Conference on Computer and Communications Security).

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Poster: Automated Discovery of Sensor Spoofing Attacks on Robotic Vehicles

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this