Trust management in social Internet of vehicles: Factors, challenges, blockchain, and fog solutions

Iqbal, Razi; Butt, Talal Ashraf; Afzaal, Muhammad; Salah, Khaled

doi:10.1177/1550147719825820

Cited by 100 publications

(60 citation statements)

References 53 publications

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“…Domain Year Aim [11] Economy & Politics 2017 Compare Cryptocurrency to national currencies [12] FC-BC 2018 Compare Golem, iExec and SONM projects [13] Smart environments 2019 Assessment and Analysis of Smart IoT-BC [14] IoT-FC 2019 Security and Privacy [15] IoT-FC-BC 2019 Cryptography assisment [16] SIoV 2019 Trust factors, challenges, models, and vision [17] eHealth-BC 2020 State-of-the-art Identity management systems [18] IoT-FC-BC 2020 General concepts (Book Chapter) Our Survey FC-BC 2020 State-of-the-art Integration Assessment…”

Section: Refmentioning

confidence: 99%

“…Accordingly, an experimental comparison evinced that hashing and encoding using ChaCha with EdDSA, instead of SHA-256 with elliptic curve cryptography (ECC), respectively, enhances a fog-based BC system in terms of CPU utilization and number of network transmitted packets. In [16], trust management models for the Social Internet of Vehicles (SIoV), were surveyed and discussed. In contrast, they analyzed the trust factors in such 3 https://ethereum.org/ systems, such as the reputation, the environment, system expectations and goals, etc.…”

Section: Refmentioning

confidence: 99%

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A Survey on Blockchain-Fog Integration Approaches

Baniata

Kertész

2020

IEEE Access

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Fog computing (FC) is the extension of Cloud Computing (CC), from the core of the internet architecture to the edge of the network, with the aim to perform processes closer to end-users. This extension is proven to enhance security, and to reduce latency and energy consumption. Blockchain (BC), on the other hand, is the base technology behind crypto-currencies, yet is implemented in wide range of different applications. The security and reliability, along with the distributed trust management criteria proposed in BC, excited the research community to integrate it with FC, in a step towards reaching a distributed and trusted, Data, Payment, Reputation, and Identity management systems. In this survey we present the upto-date state-of-the-art of FC-BC integration with a detailed literature review and classification. We discuss and categorize the related papers according to the year of publication, domain, used algorithms, BC roles, and the placement of the BC in the FC architecture. Our research presents detailed observations, analysis, and open challenges for the BC-FC integration. We believe such conclusions may clarify the vision of the BC-FC integration, and calibrate the compass towards open issues and future research directions.

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Section: Refmentioning

confidence: 99%

Section: Refmentioning

confidence: 99%

A Survey on Blockchain-Fog Integration Approaches

Baniata

Kertész

2020

IEEE Access

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“…The essential parameters elaborated in providing the detailed concept of an effective trust model for the Social Internet of Vehicles (SIoV) have been emphasized in Reference 72. Also, this research has concentrated on the unique challenges elaborated in providing the trust models for the SIoV.…”

Section: Related Workmentioning

confidence: 99%

Trust management of services (TMoS): Investigating the current mechanisms

Hayyolalam

Pourghebleh

Kazem

2020

Trans Emerging Tel Tech

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Generally, service interactions in dynamic environments comprising cloud computing, Internet of Things (IoT), and etc. occur in an unspecified situation causing trust management a significant aspect. The widespread usage of services in today's vastly high-tech world reveals the rising necessity of trust management in terms of services. In dynamic environments, there are not enough confidences for users to recognize trustworthy service providers. Hence, evaluating and managing the trustworthiness of services is a vital challenge for enabling customers to select trustworthy resources in dynamic environments. To the extent of our knowledge, in spite of the vital role of Trust Management of Services (TMoS), there is not any thorough and systematic work in this scope with a specific focus on services. Thus, this research investigates the current methods of trust management in terms of services, which are published up to February 2020. We have identified 68 papers that are diminished to 22 mostly qualified papers through the article selection process. Also, we have examined and compared the selected papers in terms of their merits and demerits, considering the important parameters in this field. The investigation results point out that the security, scalability, and dynamicity are essential to almost all research. Furthermore, privacy and reliability are the most essential parameters in the field of TMoS. Moreover, the statistical results and information can contribute to future works; also, we have conducted some open issues and future work suggestions that could be an effective roadmap for future researchers in this area.

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“…Apart from core issues in fog computing like security and privacy, fog computing also faces challenges related to trust and trust management. Iqbal et al 36 discussed various attacks related to trust in the context of internet of vehicular using FNs such as traffic jam, false attack, replay attack, MITM attack, DDoS attack, impersonation attack, and domain attack. In addition, the authors also discussed some attacks related to trust management models that ultimately affect the reputation, environment, honesty, and trust worthiness of these trust management models.…”

Section: Trust Issuesmentioning

confidence: 99%

A survey on privacy and access control schemes in fog computing

Khalid

Abbasi

Zuraiz

et al. 2019

Int J Communication

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Summary To provide reliable data storage and retrieval services to the end users, the cloud service provider implements secure data storage, sharing, and retrieval mechanisms. However, the aforesaid services provided by cloud have certain pitfalls, such as decision latency and real‐time data computation. To address these aforementioned problems, fog computing was introduced for the purpose of providing cloud services at the network's edge. While this migration of the cloud services to the network's edge raises various security concerns, such as trust, authentication, mobility, intrusion, network security, and secure data computation. Among these concerns, the most critical issues that need immediate attention of researchers and practitioners are of privacy and access control in fog computing which are in direct relation to secure data storage and retrieval purposes. So, in order to highlight their importance for research community, this survey embodies to discuss, explain, and compare various privacy preserving and access control schemes in the context of fog computing for classifying and analyzing similarities and variances with respect to other researchers. Moreover, upon classification and analysis of these schemes, various open issues and future directions are also presented for researchers and practitioners for the purpose of enhancing security algorithms to address privacy and access control issues in fog computing.

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Trust management in social Internet of vehicles: Factors, challenges, blockchain, and fog solutions

Cited by 100 publications

References 53 publications

A Survey on Blockchain-Fog Integration Approaches

A Survey on Blockchain-Fog Integration Approaches

Trust management of services (TMoS): Investigating the current mechanisms

A survey on privacy and access control schemes in fog computing

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