An intelligent approach for building a secure decentralized public key infrastructure in VANET

Kumar, Neeraj; Iqbal, Rahat; Misra, Sudip; Rodrigues, Joel J. P. C.

doi:10.1016/j.jcss.2014.12.016

Cited by 94 publications

(49 citation statements)

References 29 publications

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“…These include public key infrastructure [100], trusted architectures, such as the IEEE 1609.2 Security Framework [101], and key management and authentication schemes [102]. However, less research has been conducted in the area of social vehicular network security.…”

Section: Solutions and Future Directionsmentioning

confidence: 99%

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Social Internet of Vehicles for Smart Cities

Μαγλαράς

Al-Bayatti

et al. 2016

JSAN

131

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Digital devices are becoming increasingly ubiquitous and interconnected. Their evolution to intelligent parts of a digital ecosystem creates novel applications with so far unresolved security issues. A particular example is a vehicle. As vehicles evolve from simple means of transportation to smart entities with new sensing and communication capabilities, they become active members of a smart city. The Internet of Vehicles (IoV) consists of vehicles that communicate with each other and with public networks through V2V (vehicle-to-vehicle), V2I (vehicle-to-infrastructure) and V2P (vehicle-to-pedestrian) interactions, which enables both the collection and the real-time sharing of critical information about the condition on the road network. The Social Internet of Things (SIoT) introduces social relationships among objects, creating a social network where the participants are not humans, but intelligent objects. In this article, we explore the concept of the Social Internet of Vehicles (SIoV), a network that enables social interactions both among vehicles and among drivers. We discuss technologies and components of the SIoV, possible applications and issues of security, privacy and trust that are likely to arise.

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Section: Solutions and Future Directionsmentioning

confidence: 99%

“…Second, research needs to study the interaction between human agents and technical security solutions. Experience can be borrowed from social network security [100], where social aspects are well researched.…”

Section: Solutions and Future Directionsmentioning

confidence: 99%

Social Internet of Vehicles for Smart Cities

Μαγλαράς

Al-Bayatti

et al. 2016

JSAN

131

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“…Players can change their coalition dynamically, and there is addition and deletion of new member in coalition. For more details on game formulation and cluster maintenance, readers are advised to refer our previous work [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. For each member in coalition, payoff is calculated based on various factors as discussed in following Section.…”

Section: Setting the Gamementioning

confidence: 99%

“…μ N = 0.21 (9) μ R = 2000 −1 × 500 + 100 × 2 30 −1 × 32 +50 −1 × 10 (10) μ R = 0.77 (11) μ N comes out to be 0.21 and μ R gives 0.77 value where μ N , μ R is the payoff for normal and relay vehicles respectively.…”

Section: Calculating the Payoff Of The Playersmentioning

confidence: 99%

ReIDD: reliability-aware intelligent data dissemination protocol for broadcast storm problem in vehicular ad hoc networks

2016

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Vehicular ad hoc networks (VANETs) have emerged as fast growing networks with aims to provide safety, and comfort to the onboard passengers. But, in this environment reliable data dissemination to the destination nodes is one of the biggest challenges as there may be a congestion in the network due to blind flooding of messages to their final destination, called as broadcast storm which may lead to the performance degradation with respect to the metric such as-message delivery, reliability and response time.To address this issue, in this paper, we propose a reliabilityaware intelligent data dissemination protocol for broadcast storm problem in VANETs. We have solved the above specified problem using game theory concepts in which players, strategy space and decisions with respect to the current state of the system. To reduce the message overhead with respect to the communication cost among the players of the game, in the proposed scheme, messages are routed to the next destination by selecting the most reliable path in an intelligent manner. A coalition game is formulated among the vehicles by considering vehicles as the players in the game. Each player in the game has an initial payoff value based upon the parameters such as-communication range, storage requirements, and computation power. Based upon the payoff value of the players in the game, different coalitions/clusters are formulated among the players in the proposed scheme. Then, the players send the messages to the other vehicles/players within B Neeraj Kumar the same coalition which increases the reliability of transmission. In the proposed scheme, messages are unicasted to their final destination in an intelligent manner. Different algorithms are designed for coalition formation, maintenance, and reliability-aware data dissemination. The performance of the proposed scheme is evaluated using various evaluation metrics such as-service time, packet delivery ration, and throughput. The results obtained prove the effectiveness of the proposed scheme as compared to the other state-of-the-art existing schemes.

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“…Apart from the above research proposals, there are a number of other proposals in the literature addressing the issues of applicability of computational intelligence techniques for solving various real world problems such as [32,33,34,35,36,37,38,39,40,41].…”

Section: Related Workmentioning

confidence: 99%

Providing healthcare services on-the-fly using multi-player cooperation game theory in Internet of Vehicles (IoV) environment

Kumar

Kaur

Jindal

et al. 2015

Digital Communications and Networks

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Providing Healthcare Services On-the-Fly Using Multi-player Cooperation Game Theory in Internet of Vehicles (IoV) Environment, Digital Communications and Networks, http://dx. AbstractInternet of Vehicles (IoV) is a leading technology of the present era. It has gained huge attention with respect to its implementation in wide variety of domains ranging from traffic safety to infotainment applications. However, IoV can also be extended to healthcare domain, where the patients can be provided healthcare services on-the-fly. We extend this novel concept in this paper and refer it as "Healthcare services on-the-fly". The concept of game theory has been used among the vehicles that seek to access the healthcare services while traveling. The vehicles act as players in the game and tend to form and split coalitions to access these services. A learning automata (LA) is also coupled with the proposed game theoretical strategy. LA helps the players to interact with the environment and take appropriate actions based on reward and penalty. Apart from this, Virtual Machine (VM) scheduling algorithm for efficient utilization of resources at cloud level has also been formulated. A stochastic reward net (SRN)-based model is used to represent the coalition formation and splitting with respect to availability of these resources. The performance of the proposed scheme is evaluated using various performance evaluation metrics. The results obtained proves the effectiveness of the proposed scheme in comparison to the best, first and random fit schemes.

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An intelligent approach for building a secure decentralized public key infrastructure in VANET

Cited by 94 publications

References 29 publications

Social Internet of Vehicles for Smart Cities

Social Internet of Vehicles for Smart Cities

ReIDD: reliability-aware intelligent data dissemination protocol for broadcast storm problem in vehicular ad hoc networks

Providing healthcare services on-the-fly using multi-player cooperation game theory in Internet of Vehicles (IoV) environment

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