Integration of 5G, VANETs and Blockchain Technology

Arif, Muhammad; Balzano, Walter; Fontanella, Alessandro; Stranieri, Silvia; Wang, Guojun; Xing, Xiaofei

doi:10.1109/trustcom50675.2020.00275

Cited by 11 publications

(2 citation statements)

References 12 publications

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“…The network infrastructure for man-machine and object interconnection is the 5G communication facility. Arif et al (2020) suggested a paradigm for automotive ad-hoc network management that incorporates both 5G and Blockchain. Low latency communication provided by 5G improves both V2V and V2I connections, potentially increasing their trustworthiness.…”

Section: Emerging Network Techniques: 5gmentioning

confidence: 99%

On trust management in vehicular ad hoc networks: A comprehensive review

Che¹,

Duan²,

Li³

et al. 2022

Front. Internet Things

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Security issues have always posed a major threat and challenge to the Internet of Things (IoTs), especially the vehicular ad-hoc networks (VANETs), a subcategory of IoTs in the automotive field. The traditional methods to solve these ever-growing security issues in VANETs are mainly cryptography-based. As an effective and efficient complement to those solutions, trust management solutions and reputation models have been widely explored to deal with malicious or selfish vehicle intrusion and forged data spoofing, with the aim of enhancing the overall security, reliability, trustworthiness, and impartiality of VANETs. For the integrity of the article, this survey begins with providing the background information of VANETs, including the basic components and general architecture. Then, many attacks in VANETs are investigated, analyzed, and compared to understand the functional relevance of the following trust and reputation methods. Various approaches offer various countermeasures against these types of attacks. At the same time, the latest development of emerging technologies such as blockchain, software-defined network, and cloud computing opens up new possibilities for more and more promising trust and reputation management models and systems in VANETs. After that, the survey reviews the most important trust and reputation models and schemes which are widely mentioned in the literature based on our developed technique-based taxonomy, in contrast to the popular “entity-centric, data-centric, hybrid” taxonomy in the field, to adapt to the recent technological development of these management schemes in VANETs. Finally, discussions and speculations on the future direction of research into the trust and reputation management in VANETs are presented.

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Section: Emerging Network Techniques: 5gmentioning

confidence: 99%

On trust management in vehicular ad hoc networks: A comprehensive review

Che¹,

Duan²,

Li³

et al. 2022

Front. Internet Things

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“…Fog computing is a new computing paradigm that enables storage, processing, and communication at the edge of the network. Fog computing can use cloud resources to process and store large-scale applications [27][28][29]. Figure 1 shows the fog architecture, in collaboration with end-users and cloud, developing a three-layer hierarchical, bidirectional design [30].…”

Section: Introductionmentioning

confidence: 99%

GA-IRACE: Genetic Algorithm-Based Improved Resource Aware Cost-Efficient Scheduler for Cloud Fog Computing Environment

Arshed

Ahmed

Tufail

et al. 2022

Wireless Communications and Mobile Computing

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The ever-growing number of Internet of Things (IoT) devices increases the amount of data produced on daily basis. To handle such a massive amount of data, cloud computing provides storage, processing, and analytical services. Besides this, real-time applications, i.e., online gaming, smart traffic management, and smart healthcare, cannot tolerate the high latency and bandwidth consumption. The fog computing paradigm brings the cloud services closer to the network edge to provide quality of service (QoS) to such applications. However, efficient task scheduling becomes critical for improving the performance due to the heterogeneous nature, resource-constrained, and distributed environment of fog resources. With an efficient task scheduling algorithm, the response time to application requests can be reduced along with bandwidth and cloud resource costs. This paper presents a genetic algorithm-based solution to find an efficient scheduling approach for mapping application modules in a cloud fog computing environment. Our proposed solution is based on the execution time as a fitness function to determine an efficient module scheduling on the available fog devices. The proposed approach has been evaluated and compared against baseline algorithms in terms of execution time, monetary cost, and bandwidth. Comprehensive simulation results show that the proposed approach offers a better scheduling strategy than the existing scheduler.

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