PRIF: A Privacy-Preserving Interest-Based Forwarding Scheme for Social Internet of Vehicles

Zhu, Liehuang; Zhang, Chuan; Xu, Chang; Du, Xiaojiang; Xu, Rixin; Sharif, Kashif; Guizani, Mohsen

doi:10.1109/jiot.2018.2846653

Cited by 41 publications

(18 citation statements)

References 38 publications

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“…In [21], the paper says that there three types of nodes, i.e. (i) cars, (ii) buses and (iii) pedestrians, that form social internet of vehicles (SIOV).…”

Section: Literature Reviewmentioning

confidence: 99%

A survey on security and privacy issues in IoV

Garg

Kagalwalla

Churi

et al. 2020

IJECE

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As an up-and-coming branch of the internet of things, internet of vehicles (IoV) is imagined to fill in as a fundamental information detecting and processing platform for astute transportation frameworks. Today, vehicles are progressively being associated with the internet of things which empower them to give pervasive access to data to drivers and travelers while moving. Be that as it may, as the quantity of associated vehicles continues expanding, new prerequisites, (for example, consistent, secure, vigorous, versatile data trade among vehicles, people, and side of the road frameworks) of vehicular systems are developing. Right now, the unique idea of vehicular specially appointed systems is being changed into another idea called the internet of vehicles (IoV). We talk about the issues faced in implementing a secure IoV architecture. We examine the various challenges in implementing security and privacy in IoV by reviewing past papers along with pointing out research gaps and possible future work and putting forth our on inferences relating to each paper.

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“…In [21], the paper says that there three types of nodes, i.e. (i) cars, (ii) buses and (iii) pedestrians, that form social internet of vehicles (SIOV).…”

Section: Literature Reviewmentioning

confidence: 99%

A survey on security and privacy issues in IoV

Garg

Kagalwalla

Churi

et al. 2020

IJECE

View full text Add to dashboard Cite

show abstract

“…As shown above, the rise of new technologies (e.g. Internet of Vehicles, [34][35][36][37] Heterogeneous Sensor Networks, [38][39][40][41][42][43] Edge Computing, 44,45 Smart City, 46 Blockchain) [47][48][49] makes CIA unsuitable. In this section, we will answer two fundamental problems: which security properties are fundamental?…”

Section: Connotation Of Information Securitymentioning

confidence: 99%

Hierarchically defining Internet of Things security: From CIA to CACA

Liu

Fang

et al. 2020

International Journal of Distributed Sensor Networks

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With the rapid development of Internet of Things technology (e.g. wireless sensor networks), security has become a global issue. Confidentiality, integrity, and availability (known as the CIA triangle) is widely used to define and model information security. However, this CIA triangle is insufficient to address rapidly changing security requirements. In this article, we divide information systems into four layers: physical layer, operational layer, data layer, and content layers (PODC). Corresponding, hierarchy of information security is proposed. Furthermore, we define the basic security properties for each layer and show that the four properties (i.e. confidentiality, availability, controllability, and authentication, called CACA) are minimally complete and independent for information security. Based on PODC and CACA, a new definition of information security is proposed, which acts as a secure foundation for information systems.

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“…PRIF, proposed in [66] is an improved version of the forwarding scheme that is prevalent in MSNs today. The forwarding scheme proposed revolves around the concept of common interest-based communities formed in MSNs and, it preserves communication privacy by ensuring the privacy of the interacting parties.…”

Section: ) Privacy Enhancing Schemesmentioning

confidence: 99%

A Survey on Privacy Issues in Mobile Social Networks

Sai

2020

IEEE Access

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Mobile Social Networks (MSNs) are a category of social networks that have features of both traditional OSNs and Location-Based Social Networks (LBSNs). MSNs provide users with an opportunity to explore social media, connect with people nearby, or with those sharing similar interests. The ease with which people can connect and use these networks to obtain information, share user-centric data, and request services on the go through their mobile devices as long as they have access to the internet has made MSNs omnipresent. Due to the widespread nature of MSNs and the lack of effective privacy-preserving architecture makes them a target for several attacks by adversaries and the users of the networks are completely vulnerable to these privacy breaches. With the advancements in technology, the number of attacks and their possible solutions is complex and expansive. Therefore, there is a need to properly categorize them to understand the intricacies of different attacks and the concepts used by researchers to devise different solutions. This survey on privacy issues in MSNs serves as a way to provide an introduction to MSNs. We categorize privacy in MSN on the basis of the aspect they effect and summarize the different threats in each category. Furthermore, we provide an elaborate classification of the various privacy-preserving solutions proposed in recent research works, under each category of privacy. We also review different datasets and data generation tools that can be used by future researchers in this field.

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PRIF: A Privacy-Preserving Interest-Based Forwarding Scheme for Social Internet of Vehicles

Cited by 41 publications

References 38 publications

A survey on security and privacy issues in IoV

A survey on security and privacy issues in IoV

Hierarchically defining Internet of Things security: From CIA to CACA

A Survey on Privacy Issues in Mobile Social Networks

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