Research on Cyber Security Test Method for GNSS of Intelligent Connected Vehicle

He, Kexun; Qin, Kongjian; Wang, Changyuan; Fang, Xiyu

doi:10.1109/cibda50819.2020.00052

Cited by 8 publications

(4 citation statements)

References 3 publications

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“…However, the testing tool developed in this framework only supports in-vehicle CAN bus testing. K. He et al proposed a comprehensive and implementable test evaluation method based on the professional darkroom [27], but a detailed test process and implementation was not provided.…”

Section: Related Workmentioning

confidence: 99%

ICVTest: A Practical Black-Box Penetration Testing Framework for Evaluating Cybersecurity of Intelligent Connected Vehicles

Zhang,

Wang,

Wang

et al. 2023

Applied Sciences

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Intelligent connected vehicles (ICVs) are equipped with extensive electronic control units which offer convenience but also pose significant cybersecurity risks. Penetration testing, recommended in ISO/SAE 21434 “Road vehicles—Cybersecurity engineering”, is an effective approach to identify cybersecurity vulnerabilities in ICVs. However, there is limited research on vehicle penetration testing from a black-box perspective due to the complex architecture of ICVs. Additionally, no penetration testing framework has been proposed to guide security testers on conducting penetration testing for the whole vehicle. The lack of framework guidance results in the inexperienced security testers being uncertain about the processes to follow for conducting penetration testing. Moreover, the inexperienced security testers are unsure about which tests to perform in order to systematically evaluate the vehicle’s cybersecurity. To enhance the penetration testing efficiency of ICVs, this paper presents a black-box penetration testing framework, ICVTest. ICVTest proposes a standardized penetration testing process to facilitate step-by-step completion of the penetration testing, thereby addressing the issue of inexperienced testers lacking guidance on how to initiate work when confronted with ICV. Also, ICVTest includes 10 sets of test cases covering hardware and software security tests. Testers can select appropriate test cases based on the specific cybersecurity threats faced by the target object, thereby reducing the complexity of penetration testing tasks. Furthermore, we have developed a vehicle cybersecurity testing platform for ICVTest that seamlessly integrates various testing tools. The platform enables even novice testers to conduct vehicle black-box penetration testing in accordance with the given guidance which addresses the current industry’s challenge of an overwhelming number of testing tasks coupled with a shortage of skilled professionals. For the first time, we propose a comprehensive black-box penetration testing framework and implement the framework in the form of a cybersecurity testing platform. We apply ICVTest to evaluate an electric vehicle manufactured in 2021 for assessing the framework’s availability. With the aid of ICVTest, even testers with limited experience in automotive penetration can effectively evaluate the security risks of ICVs. In our experiments, numerous cybersecurity vulnerabilities were identified involving in-vehicle sensors, remote vehicle control systems, and in-vehicle controller area network (CAN) bus.

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Section: Related Workmentioning

confidence: 99%

ICVTest: A Practical Black-Box Penetration Testing Framework for Evaluating Cybersecurity of Intelligent Connected Vehicles

Zhang,

Wang,

Wang

et al. 2023

Applied Sciences

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“…China, a major country in automobile production and manufacture, has a large number of automobiles. The extensive use of automobiles not only brings convenience, but also poses potential safety risks to the public [1][2][3] . The safety performance of vehicles has a great impact on road transportation and human lives.…”

Section: Introductionmentioning

confidence: 99%

Study on active safety test based on China Intelligent-connected Car Assessment Program (C-ICAP) - basic driving assist

Liu,

Wang,

Zhou

et al. 2023

Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023)

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With the increasing number of automobiles in China, the safety performance of vehicle has become significant. Advanced Driving Assist System (ADAS) is able to reduce the traffic accident. China New Car Assessment Program (C-NCAP) promotes active safety technologies from the aspect of test. However, in C-NCAP, Autonomous Braking System (AEB) is primarily considered. Therefore, China Intelligent-connected Car Assessment Program (C-ICAP) is proposed to comprehensively test the driving assist functions with longitudinal and lateral control. Based on the basic driving assist part of C-ICAP, this study conducts 3 sets of tests to evaluate the performance of the vehicles with ADAS. Moreover, the feasibility and rationality of the test scenarios are evaluated according to the results.

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“…The function of an AECS is to acquire and transmit accurate vehicle location information after an accident, ensuring its trigger ability and compliance with international standards. The reliability of communication connections and the transmission of the Minimum Set of Data (MSD) are the focal points of system testing [3]. However, during the transmission of the MSD, the GNSS signals received by the positioning system are susceptible to interference and spoofing; in Figure 1b, the AECS-related testing for the ICV test is compared to the traditional Hardware-in-the-Loop (HIL) testing in (a), where the establishment of communication connections is constrained by the accident environment.…”

Section: Introductionmentioning

confidence: 99%

Using Case and Error Analysis on Inspection Methods of Modeling Platforms for Automatic Emergency Call Systems Based on Generated Satellite Signals

Fu,

Ni,

Yang

et al. 2023

Vehicles

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The positional deviation of the in-vehicle Automatic Emergency Call System (AECS) under collision conditions brings difficulties for Intelligent Connected Vehicles (ICVs) post rescue operations. Currently, there is a lack of analysis on system operating conditions during collisions in the reliability assessment methods for the Global Navigation Satellite System (GNSS) deployed in the AECS. Therefore, this paper establishes an in-vehicle collision environment simulation model for emergency calls to explore the influence of parameters such as temperature and vibration on Signal-Based In-Vehicle Emergency Call Systems. We also propose environmental limits applicable to comprehensive tests, which can objectively evaluate reliability and provide data support for the AECS bench test through a satellite-signal-based semi-physical simulation, which is subjected to a bench test under different operating conditions. The findings of this study demonstrate that the occurrence of random vibration and impact stress, induced by vibration, exerts considerable disruptive effects on positional signal data during collisions. Consequently, it leads to substantial interference with the accurate detection of post-collision satellite positioning information. When the simulation operates under a 2.4 gRMS vibration condition, the maximum phase noise error in the positioning system is 8.95%, which does not meet the test accuracy requirements. On the other hand, the semi-simulation system is less affected by temperature changes, and at the maximum allowable temperature difference of the equipment, the maximum phase noise error in the simulated signal is 2.12%. Therefore, based on the influence of phase noise variation on the accuracy of the satellite signal simulation, necessary environmental conditions for the test are obtained, including a temperature that is consistent with the maximum operating temperature of the vector generator and a vibration power spectral density (PSD) lower than 1.2 gRMS.

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Research on Cyber Security Test Method for GNSS of Intelligent Connected Vehicle

Cited by 8 publications

References 3 publications

ICVTest: A Practical Black-Box Penetration Testing Framework for Evaluating Cybersecurity of Intelligent Connected Vehicles

ICVTest: A Practical Black-Box Penetration Testing Framework for Evaluating Cybersecurity of Intelligent Connected Vehicles

Study on active safety test based on China Intelligent-connected Car Assessment Program (C-ICAP) - basic driving assist

Using Case and Error Analysis on Inspection Methods of Modeling Platforms for Automatic Emergency Call Systems Based on Generated Satellite Signals

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