Cyber Security and Privacy of Connected and Automated Vehicles (CAVs)-Based Federated Learning: Challenges, Opportunities, and Open Issues

Hussain, Naziya; Rani, Preeti; Chouhan, Harsha; Gaur, Urvashi Sharma

doi:10.1007/978-3-030-85559-8_11

Cited by 23 publications

(6 citation statements)

References 41 publications

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“…Different sensor nodes (SNs) with diverse networking knowledge capabilities are interconnected to provide the users with information and different high-quality services efficiently and at any time and place [5]. e WSN is different from the VANET [6][7][8] network due to its mobility [9].…”

Section: Introductionmentioning

confidence: 99%

EMEECP-IOT: Enhanced Multitier Energy-Efficient Clustering Protocol Integrated with Internet of Things-Based Secure Heterogeneous Wireless Sensor Network (HWSN)

Wang

Zhang

2022

Security and Communication Networks

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In recent years, Internet of Things (IoT)-based constrained wireless sensor networks (WSN) have been observed with radical developments. The aligned phenomenon such as maximizing resource utilization and the delivery of efficient services is the need of the hour to suffice for the purpose of seamless connectivity. Typically, IoT devices have limited battery life and are deployed in remote areas. As a result, limited battery life limits the use of networks in some situations. To develop energy-efficient techniques for the IoT requires innovative ideas where the current techniques of using WSNs cannot directly apply to the IoT due to protocol issues, SLAs (service level agreements), scalability issues, and complexity levels. To overcome these issues, this article proposes an Enhanced Multitier Energy-Efficient Clustering Protocol integrated with the Internet of Things (EMEECP-IOT) based on the heterogeneous wireless sensor networks (HWSN) technique. The proposed approach has been compared with the current and standard protocols with respect to the parameters such as network stability, packets received, average throughput, standard deviation (SD), and residual energy. The simulation results show significantly better performance of the proposed EMEECP-IoT-based HWSN technique than the existing technique. Extensive performance factors show that the proposed EMEECP-IOT extends the network lifetime by 35% and decreases the network’s energy consumption by 21%. This proposed approach can be applied to save energy and enhance network lifetime for WSN and IoT-oriented applications.

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Section: Introductionmentioning

confidence: 99%

EMEECP-IOT: Enhanced Multitier Energy-Efficient Clustering Protocol Integrated with Internet of Things-Based Secure Heterogeneous Wireless Sensor Network (HWSN)

Wang

Zhang

2022

Security and Communication Networks

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“…Jamil et al [38] explore the application of digital twin (DT) and FL in various contexts such as industrial IoT (IIoT), IoV, and the Internet of Drones (IoD). Under the topic of IoV security and privacy issues, Hussain et al [39] discuss cybersecurity and privacy issues in Connected and Autonomous Vehicles (CAVs) under an FL architecture, while Xing et al [40] elaborate on the attack model of the Social Internet of Vehicles (SloV) and provide a comparative analysis of typical data security solutions, emphasizing the synergy of federated learning in data security protection. Other studies focus on the integration of blockchain and FL in ITS.…”

Section: A Current State Of Art and Our Contributionsmentioning

confidence: 99%

“…Similarly, studies by Zhu et al [41] and Billah et al [37] concentrate on blockchain-assisted FL architectures and do not comprehensively cover other assistive technologies. The works by Hussain et al [39] and Xing et al [40] solely discuss the advantages of FL in terms of privacy protection and security. Finally, with the exception of Billah et al [37] and Chellapandi et al [43], the other articles lack organization based on ITS task scenarios, which hinders the reader's intuitive understanding of FL-enabled ITS.…”

Section: A Current State Of Art and Our Contributionsmentioning

confidence: 99%

Enhanced Federated Learning for Edge Data Security in Intelligent Transportation Systems

Zhu

Yin

et al. 2023

IEEE Trans. Intell. Transport. Syst.

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“…Therefore, there is a distinction between internal and external nodal attacks. Attacks from external nodes cause the former, but attacks from grayholes and blackholes cause the latter [17][18][19][20]. Consequently, optimization plays a major role in achieving trust-enabled secure routing, providing a solution or two based on different objectives.…”

Section: Literaturementioning

confidence: 99%

Design an Improved Trust-based Quality of Service AwareRouting in Cognitive Mobile Ad-Hoc Network

Dr. Alok Singh Chauhan,

H Mary Henrietta

2023

WJCMS

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Mobile ad hoc networks (MANETs) are wireless networks that can be configured at will. It has no infrastructure and centralized control, so it is only suitable for provisional communications. In a dynamically topological and resource-constrained network, ensuring QoS and security is challenging. MANETs are dynamic networks, so navigating them can be challenging and more susceptible to attacks. MANET requires significant memory, speed, and transmission bandwidth for conventional security measures like cryptographic techniques. Consequently, these methods are unsuitable for identifying malicious behaviour or self-centered nodes. Nodes that are malicious, selfish, or malfunctioning can be identified based on the trust method, which calculates how much trust exists between them. A trust-based QOS-aware routing protocol is proposed in this paper to calculate trust in MANET (I-TQAR). The tree important performance metrics are considered for result validation such as delay, throughput and packet delivery ratio (PDR). I-TQAR offers significantly improved performance in all areas compared to the existing TQR and TQOR protocols.

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Cyber Security and Privacy of Connected and Automated Vehicles (CAVs)-Based Federated Learning: Challenges, Opportunities, and Open Issues

Cited by 23 publications

References 41 publications

EMEECP-IOT: Enhanced Multitier Energy-Efficient Clustering Protocol Integrated with Internet of Things-Based Secure Heterogeneous Wireless Sensor Network (HWSN)

EMEECP-IOT: Enhanced Multitier Energy-Efficient Clustering Protocol Integrated with Internet of Things-Based Secure Heterogeneous Wireless Sensor Network (HWSN)

Enhanced Federated Learning for Edge Data Security in Intelligent Transportation Systems

Design an Improved Trust-based Quality of Service AwareRouting in Cognitive Mobile Ad-Hoc Network

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