On Security and Privacy in Vehicle Speed-Limiting Services in the Internet of Vehicles

Malina, Lukáš; Šeda, Pavel; Lokaj, Zdenek; Srotyr, Martin; Vanis, Miroslav; Pokorny, Jiri

doi:10.1109/mits.2022.3203236

Cited by 6 publications

(1 citation statement)

References 27 publications

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“…As an open and integrated network system, the development of IoV relies on the integration of multiple technologies, services, and standards. However, the resulting heterogeneity, coupled with a large number of vehicles, renders IoV vulnerable to cyber-attacks [9,10], highlighting the need for robust IoV security measures. Moreover, due to the inherent characteristics of blockchain-empowered IoT, such as transparency and non-comparability, IoV faces new challenges in terms of security.…”

Section: Introductionmentioning

confidence: 99%

Lightweight Intrusion Detection Using Reservoir Computing

Deng,

Shen,

Feng

et al. 2024

CMC

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The blockchain-empowered Internet of Vehicles (IoV) enables various services and achieves data security and privacy, significantly advancing modern vehicle systems. However, the increased frequency of data transmission and complex network connections among nodes also make them more susceptible to adversarial attacks. As a result, an efficient intrusion detection system (IDS) becomes crucial for securing the IoV environment. Existing IDSs based on convolutional neural networks (CNN) often suffer from high training time and storage requirements. In this paper, we propose a lightweight IDS solution to protect IoV against both intra-vehicle and external threats. Our approach achieves superior performance, as demonstrated by key metrics such as accuracy and precision. Specifically, our method achieves accuracy rates ranging from 99.08% to 100% on the Car-Hacking dataset, with a remarkably short training time.

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Section: Introductionmentioning

confidence: 99%