A robust authentication scheme for remote diagnosis and maintenance in 5G V2N

Ma, Ruhui; Cao, Jun; Feng, Dan; Li, Hui; Li, Xiaowei; Yang, Xu

doi:10.1016/j.jnca.2021.103281

Cited by 8 publications

(4 citation statements)

References 42 publications

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“…This approach aims to reduce costs and complexity by using data aggregation techniques and simple encryption to ensure the confidentiality and integrity of the exchanged data. Ma et al [5] introduced an authentication scheme that focuses on ensuring security. Their method incorporates a key management mechanism and lightweight cryptography to guarantee the integrity and security of remote diagnostic procedures.…”

Section: Secure Communication Protocolsmentioning

confidence: 99%

Artificial intelligence powered internet of vehicles: securing connected vehicles in 6G

Kumar Raja,

Abas,

Akula

et al. 2024

IJEECS

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<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p>The rapid advancements in automotive technology and the emergence of next-generation networks such as 5G and 6G are laying the foundation for the internet of vehicles (IoV), a revolutionary concept to transform transportation systems. The convergence of artificial intelligence (AI) and connected vehicles IoV is driving a paradigm shift in the transportation sector, especially in the dynamic framework of 5G and future 6G networks. This survey paper provides a thorough survey of the evolving AI-based IoV security landscape. We explore key areas of 5G/6G networks, focusing on the complex interplay of machine learning (ML) and deep learning (DL) in enhancing vehicle-to-everything (V2X) security and connected vehicles. Addressing the unique challenges of 6G, this paper outlines future directions for improving security and highlights open research issues. This comprehensive survey, which aims to provide information and guidance to both researchers and practitioners, contributes to a detailed understanding of the security issues associated with connected vehicles in the emerging 6G era.</p></div></div></div>

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Section: Secure Communication Protocolsmentioning

confidence: 99%

Artificial intelligence powered internet of vehicles: securing connected vehicles in 6G

Kumar Raja,

Abas,

Akula

et al. 2024

IJEECS

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“…EVs access to the intelligent neighborhood, including multiple homes, charging stations, and an aggregator, to balance the community's electricity use (Ma et al, 2022).…”

Section: V2n IIImentioning

confidence: 99%

A systematic literature review of vehicle-to-everything in communication, computation and service scenarios

Lv,

Qin,

Gan

et al. 2024

International Journal of General Systems

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The notion of vehicle-to-everything (V2X) has been adopted and developed in a host of application scenarios due to its wide compatibility with intelligent transport, smart city or other relevant concepts since it was set forth. Bene ting from the application of advanced technologies, vehicles are connected with more and more objects, such as vehicle-to-unmanned aerial vehicles (V2U), vehicle-to-subway (V2S), etc., making the application scenarios of V2X constantly updated. Narrative reviews for speci c V2X, such as vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), or vehicle-to-grid (V2G), rather than a comprehensive review of V2X, cannot provide a reference for a broader and comprehensive application of V2X. Therefore, this study rst investigates the knowledge landscape of V2X publications by bibliometric analysis to portray the theme evolution and outline of V2X research. Then, the applications of V2X are then summarized into communication, computation, and service scenarios, and their forms, supporting technologies, and challenges are reviewed. The relationships and synergistic development in various V2X are also discussed. This holistic insight is necessary to help researchers connect the sub-concepts of V2X for the synergistic development of various V2X.OR TS=(V2N) OR TS=(V2I) OR TS=(V2U) OR TS=(V2H)) AND TS=(vehicle), with TS as the topic, the language is English, and the literature type is the article. This study compiles all papers released up to October 13, 2022, without any time restrictions. Based on the above search protocol, 4,097 records were retrieved, and 2,989 records remain after eliminating the literature unrelated to the research subject. The primary information and descriptive statistics are shown in Table 1.

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“…The current automobile security infrastructure state has seen further research in several security sectors with increasing demand for vehicular services [30], vehicular network de-ployments [31], and in-vehicle electric infrastructure [32]. These research aspects generate comprehensive insights into the fast-approaching ubiquitousness of connected, intelligent, and autonomous ecosystems.…”

Section: Two-factor Authentication (2fmentioning

confidence: 99%

Self-Aware Cybersecurity Architecture for Autonomous Vehicles: Security through System-Level Accountability

Adu-Kyere,

Nigussie,

Isoaho

2023

Sensors

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The inherent dynamism of recent technological advancements in intelligent vehicles has seen multitudes of noteworthy security concerns regarding interactions and data. As future mobility embraces the concept of vehicles-to-everything, it exacerbates security complexities and challenges concerning dynamism, adaptiveness, and self-awareness. It calls for a transition from security measures relying on static approaches and implementations. Therefore, to address this transition, this work proposes a hierarchical self-aware security architecture that effectively establishes accountability at the system level and further illustrates why such a proposed security architecture is relevant to intelligent vehicles. The article provides (1) a comprehensive understanding of the self-aware security concept, with emphasis on its hierarchical security architecture that enables system-level accountability, and (2) a deep dive into each layer supported by algorithms and a security-specific in-vehicle black box with external virtual security operation center (VSOC) interactions. In contrast to the present in-vehicle security measures, this architecture introduces characteristics and properties that enact self-awareness through system-level accountability. It implements hierarchical layers that enable real-time monitoring, analysis, decision-making, and in-vehicle and remote site integration regarding security-related decisions and activities.

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A robust authentication scheme for remote diagnosis and maintenance in 5G V2N

Cited by 8 publications

References 42 publications

Artificial intelligence powered internet of vehicles: securing connected vehicles in 6G

Artificial intelligence powered internet of vehicles: securing connected vehicles in 6G

A systematic literature review of vehicle-to-everything in communication, computation and service scenarios

Self-Aware Cybersecurity Architecture for Autonomous Vehicles: Security through System-Level Accountability

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