Malicious Node Detection on Vehicular Ad-Hoc Network Using Dempster Shafer Theory for Denial of Services Attack

Kushwah, Neha; Sonker, Abhilash

doi:10.1109/cicn.2016.91

Cited by 10 publications

(6 citation statements)

References 13 publications

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“…The current lack of a high level of security in driverless cars is one of the biggest inhibiting factors for their wide use. VANET supervises the road traffic and shares the data of each vehicle with those in its proximity (Kushwah and Sonker 2016). VANET employs fixed and movable nodes.…”

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Design and development of a hybrid (SDN + SOM) approach for enhancing security in VANET

et al. 2021

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Vehicular ad hoc networks (VANET) are an emergent technology with a promising future. VANETs are quite different from mobile ad hoc networks (MANETs) in terms of characteristics, challenges, system architecture, and application. One of the significant challenges of the VANET is the security from two essential points of view, the prediction and prevention attackers. In this article, we proposed an operating system that combined both software-defined network (SDN) and selforganizing map (SOM) for the 5G-based VANET system. The proposed system will be a new combination of the SDN-and a self-organizing map (SOM)-based network solution to enhance security in the two dimensions, detecting and preventing attacks. This article analysis the vulnerability of the network performance with taken into account the distributed denial of service (DDoS) attacks. Then, the security of the proposed system has been analyzed and checked with existing of the DDoS. The simulation results presented in this article show that, under general conditions of networks, the proposed system can enhance the networks performance compared to the existing work.

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Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Design and development of a hybrid (SDN + SOM) approach for enhancing security in VANET

et al. 2021

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“…The leakage of that model is a bunch of compromised nodes can run DoS attack. A scheme has been proposed in [16] to prevent any quantity sending fake requests and trying to break the security of the network.…”

Section: Related Workmentioning

confidence: 99%

Malicious vehicle detection based on beta reputation and trust management for secure communication in smart automotive cars network

Hossain

Reza

2021

TELKOMNIKA

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High reliance on wireless network connectivity makes the vehicular ad hoc network (VANET) vulnerable to several kinds of cyber security threats. Malicious vehicles accessing the network can lead to hazardous situation by disseminating misleading information or data in the network or by performing cyber-attacks. It is a requirement that the information must be originated from the authentic and authorized vehicle and confidentiality must be maintained. In these circumstances, to protect the network from malicious vehicles, reputation system based on beta probability distribution with trust management model has been proposed to differentiate trustworthy vehicles from malicious vehicles. The trust model is based on adaptive neuro fuzzy inference system (ANFIS) which takes trust metrics as input to evaluate the trustworthiness of the vehicles. The simulation platform for the model is in MATLAB. Simulation results show that the vehicles need at least 80% trustworthiness to be considered as a trusted vehicle in the network.

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“…The best strategy for a criminal when both criminals do not know the other's decision is to "defect" to avoid 9 years which is the worst case. Trust model with group leader GL Security risk assessment methodology [11] Fuzzy trust model Fuzzy logic [12] Trust management ALRS and ATMS [13] Trust management VANSec [14] Blockchain-based decentralized trust management Asymmetric cryptography, signature [15] Game theory NE is used to choose the appropriate parameters for detecting and responding to the attack [16] Game theory Three NEs are used to model trust in network to cooperate and reach the efficient equilibrium [17] Game theory NE is used to model networks security problems [18] Game theory NEs are used to model the simultaneous move game [19] Game theory NE is used to allocate resources in each Battlefields [20] Game theory Dempster-Shafer theory is used for finding attacker node [21] Game theory NE is obtained when the attacker vehicle continues to attack and the honest vehicle change its direction [22] Game theory NE is used to define stability of the system [23] Game theory NE is used to calculate best strategy for attacker and defender In Table 2, (defect, defect) = (5, 5) is a Nash equilibrium but it is not an optimal equilibrium.…”

Section: Proposed Approachmentioning

confidence: 99%

“…In Chia and Chuang [19], authors used NE to allocate resources in each Battlefields (example phishing site in term on domain name or IP address or site on shared hosting service. In Kushwah and Sonker [20], the authors used self-organizing map classifier for the detection of misbehavior node. In this classification, they used Dempster-Shafer theory for finding attacker node is applied.…”

Section: Introductionmentioning

confidence: 99%

Secure Communications by Tit-for-Tat Strategy in Vehicular Networks

Mostefa¹,

Maaza²,

Duvallet³

2020

IJNDC

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Secure communication is one of the main challenges of ad hoc Vehicle Networks (VANET). Intrusion detection of malicious nodes is one of the solutions to secure communication in VANETs using hybrid architecture (V2V and V2I). This article proposes an approach based on game theory, in particular the "Tit-for-Tat" (TfT) strategy as a suitable paradigm for human cooperation in order to detect malicious nodes in passive and active attacks. This article analyzes the performance of the proposed approach and the "TfT" strategy contribution in VANET security.

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Malicious Node Detection on Vehicular Ad-Hoc Network Using Dempster Shafer Theory for Denial of Services Attack

Cited by 10 publications

References 13 publications

RETRACTED ARTICLE: Design and development of a hybrid (SDN + SOM) approach for enhancing security in VANET

RETRACTED ARTICLE: Design and development of a hybrid (SDN + SOM) approach for enhancing security in VANET

Malicious vehicle detection based on beta reputation and trust management for secure communication in smart automotive cars network

Secure Communications by Tit-for-Tat Strategy in Vehicular Networks

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