Towards Secure Localized Certificate Revocation in Mobile Ad-Hoc Networks

Màsdàrí, Mohàmmàd

doi:10.1080/02564602.2016.1215270

Cited by 4 publications

(10 citation statements)

References 17 publications

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“…their portion and aggressiveness in the network. Finally, we compare our work with scenarios where the uncertainties discussed in this paper have not been considered, e.g., [5], [8], [10]. Fig.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…In this section, we compare our work with the scenarios where some of the explained uncertainties have not been considered (e.g. [5], [8], [10]). It is worth mentioning that the comparison is limited to highlighting uncertainties in those scenarios.…”

Section: Comparisonmentioning

confidence: 99%

“…Scholars have realized the effect of misbehaving nodes in the network, and put forward many control and security schemes to mitigate their impact [4]- [10]. Revocation process is an effective approach for malicious nodes detections that captures the dynamic nature of vehicular ad hoc networks (VANETs) [4], [5].…”

Section: Introductionmentioning

confidence: 99%

“…Alabdel et al [8] proposed an evolutionary game model in which all benign nodes take part in the voting game, focusing on unsuccessful revocation and over-reacted revocation decisions. Masdari [10] introduced a collaborative false accusation approach to stop wrong accusations in the network.…”

Section: Introductionmentioning

confidence: 99%

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Local Voting Games for Misbehavior Detection in VANETs in Presence of Uncertainty

Behfarnia

Eslami

2019

2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton)

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Cooperation between neighboring vehicles is an effective solution to the problem of malicious node identification in vehicular ad hoc networks (VANETs). However, the outcome is subject to nodes' beliefs and reactions in the collaboration. In this paper, a plain game-theoretic approach that captures the uncertainty of nodes about their monitoring systems, the type of their neighboring nodes, and the outcome of the cooperation is proposed. In particular, one stage of a local voting-based scheme (game) for identifying a target node is developed using a Bayesian game. In this context, incentives are offered in expected utilities of nodes in order to promote cooperation in the network. The proposed model is then analyzed to obtain equilibrium points, ensuring that no node can improve its utility by changing its strategy. Finally, the behavior of malicious and benign nodes is studied by extensive simulation results. Specifically, it is shown how the existing uncertainties and the designed incentives impact the strategies of the players and, consequently, the correct targetnode identification.

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Section: Numerical Resultsmentioning

confidence: 99%

Section: Comparisonmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Local Voting Games for Misbehavior Detection in VANETs in Presence of Uncertainty

Behfarnia

Eslami

2019

2019 57th Annual Allerton Conference on Communication, Control, and Computing (Allerton)

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“…Scholars [18], [19] have developed a weighted voting game based on clustering architecture to effectively solve the problem of false accusation. Masdari [20] proposed a collaborative false accusation approach to stop wrong accusations in the network. Diakonikolas and Pavlou [22] emphasized the inverse power index problem in designing weighted voting games and proved that the problem is computationally intractable for a broad family of semi-values.…”

Section: B Related Workmentioning

confidence: 99%

Misbehavior Detection in Ephemeral Networks: A Local Voting Game in Presence of Uncertainty

Behfarnia

Eslami

2019

IEEE Access

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Emerging short-lived (ephemeral) connections between wireless mobile devices have raised concerns over the security of ephemeral networks. An important security challenge in these networks is to identify misbehaving nodes, especially in places where a centrally managed station is absent. To tackle this problem, a local voting-based scheme (game) in which neighboring nodes quickly decide whether to discredit an accused (target) node in mobile networks has been introduced in the literature. However, nodes' beliefs and reactions significantly affect the outcome of target node identification in the collaboration. In this paper, a plain Bayesian game between a benign node and a target node in one stage of a local voting-based scheme is proposed in order to capture uncertainties of nodes for target node identification. In this context, the expected utilities (payoffs) of players in the game are defined according to uncertainties of nodes regarding their monitoring systems, the type of target node and participants, and the outcome of the cooperation. Meanwhile, incentives are offered in payoffs in order to promote cooperation in the network. To discourage nodes from abusing incentives, a variable-benefit approach that rewards each player according to the value of their contribution to the game is introduced. Then, possible equilibrium points between a benign node and a malicious node are derived using a pure-strategy Bayesian Nash equilibrium (BNE) and a mixed-strategy BNE, ensuring that no node is able to improve its payoffs by changing its strategy. Finally, the behavior of malicious and benign nodes is studied via simulations. Specifically, it is shown how the aforementioned uncertainties and the designed incentives impact the strategies of the players and, consequently, the correct target-node identification.

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Blockchain-based cloud storage system with CP-ABE-based access control and revocation process

2022

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Towards Secure Localized Certificate Revocation in Mobile Ad-Hoc Networks

Cited by 4 publications

References 17 publications

Local Voting Games for Misbehavior Detection in VANETs in Presence of Uncertainty

Local Voting Games for Misbehavior Detection in VANETs in Presence of Uncertainty

Misbehavior Detection in Ephemeral Networks: A Local Voting Game in Presence of Uncertainty

Blockchain-based cloud storage system with CP-ABE-based access control and revocation process

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