Entity-Centric Combined Trust (ECT) Algorithm to Detect Packet Dropping Attack in Vehicular Ad Hoc Networks (VANETs)

Tripathi, Kuldeep Narayan; Jain, Gourav; Yadav, Ashish Mohan; Sharma, Subhash C.

doi:10.1007/978-981-15-4851-2_3

Cited by 8 publications

(3 citation statements)

References 16 publications

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“…Tripathi et al [31] proposed an ECT (Entity-Centric Combined Trust) model based on cooperation among vehicles to detect packet drop attacks. In this model, the satisfaction level of a node is based on the closeness position, transition reliability, and contact frequency.…”

Section: Related Workmentioning

confidence: 99%

“…For example, the majority of these approaches [15], [30], [32] rely on additional IDS and control packets, which cause excessive routing overhead and delay. Similarly, approaches like [22], [29], [31] are dependent on clustering, trust value, and cryptographic techniques. The major drawbacks of these approaches are the generation of significant routing overhead due to the continuous formation of clusters and the exchange of heavy-weightage information among nodes.…”

Section: Related Workmentioning

confidence: 99%

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An Efficient Approach for the Detection and Prevention of Gray-Hole Attacks in VANETs

et al. 2023

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Vehicular Ad-Hoc Networks (VANETs) deliver a wide range of commercial as well as safety applications and further motivate the advancements of Internet of Vehicles (IoV), Intelligent Transportation Systems (ITS), and Vehicles to Everything (V2X) communication. Despite their potential benefits, VANETs are susceptible to a variety of security attacks due to their open, distributed, and dynamic nature, which includes intrinsic protocol design issues. One such an infamous security attack is the Gray-Hole Attack (GHA), typically has two variants: Smart GHA and Sequence Number-based GHA. In Smart GHA, the malicious node behaves normally during the route discovery process, while in Sequence Number-based GHA, the malicious node starts misbehaving during the route discovery process. In either case, once the route is successfully established, it starts dropping the packets. In this paper, a novel security approach called ''Detection and Prevention of GHA'' (DPGHA) is proposed to detect and prevent both variants of GHA in Ad Hoc On-Demand Distance Vector (AODV) based VANETs. The approach is based on the generation of dynamic threshold values of abnormal differences of received, forwarded, and generated control or data packets among nodes and their sequence numbers. The proposed DPGHA is implemented and tested in NS-2 and SUMO simulators and its various performances are compared with the most relevant benchmark approaches. The results showed that the proposed DPGHA performed better than the benchmark approaches in terms of reduced routing overhead by 10.85% and end-to-end delay by 3.85%, increased Packet Delivery Ratio (PDR) by 4.67% and throughput by 6.58%, and achieved a maximum detection rate of 2.3%.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

An Efficient Approach for the Detection and Prevention of Gray-Hole Attacks in VANETs

et al. 2023

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“…In the indirect reputation, each vehicle assigns a point to its neighbor vehicles and the nearest roadside unit after calculating the combined reputation for a particular vehicle; one can determine whether the vehicle is reliable by comparing the calculated values with the defned threshold values or not. [83] employs trustbased security measures to identify malicious activities, encompassing packet dropping and packet modifcation/ modifcation attacks. Te algorithm is rooted in direct and indirect trust, allowing for the computation of trust value and satisfaction of a given node sans supplementary control overhead.…”

Section: Sharma Et Al's Modelmentioning

confidence: 99%

Investigation of Different Mechanisms to Detect Misbehaving Nodes in Vehicle Ad-Hoc Networks (VANETs)

Nobahari,

Bakhshayeshi Avval,

Akhbari

et al. 2023

Security and Communication Networks

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The vehicle ad-hoc network (VANET) is a crucial technology that will play a significant role in shaping the future of transition systems, which is widely used as a subset of ad-hoc networks. VANET aims to ensure driver safety by establishing independent communication with nearby vehicles. A key requirement for successful data transmission is cooperation among nodes, as factors such as high mobility, limited radio range, signal fading, and noise lead to packet loss. Security issues in vehicle ad-hoc networks have recently become a major concern. One factor that affects security is the presence of abusive nodes in the network. Like selfish nodes, they are reluctant to share their sources with their neighbors and try to keep their property. The misbehavior of malicious nodes includes dissemination of false traffic information, false location information, and redirection of packets to a wrong path, retransmission of packets, impersonation, so these nodes should be tracked down to ensure the operation of the network. This article provides a complete summary of various research works proposed to detect selfish and malicious nodes and isolate them from honest vehicles. This review article first describes the types of attacks. It then presents the methods proposed by researchers to deal with uncooperative nodes and compares their performance based on parameters such as the number of misbehaving nodes detected, overhead, throughput, layer involved in the attacks.

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An Overview of Security Services and Trust-Based Authentication Schemes in VANET

Gayathri

Gomathy

2022

Lecture Notes in Networks and Systems

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Entity-Centric Combined Trust (ECT) Algorithm to Detect Packet Dropping Attack in Vehicular Ad Hoc Networks (VANETs)

Cited by 8 publications

References 16 publications

An Efficient Approach for the Detection and Prevention of Gray-Hole Attacks in VANETs

An Efficient Approach for the Detection and Prevention of Gray-Hole Attacks in VANETs

Investigation of Different Mechanisms to Detect Misbehaving Nodes in Vehicle Ad-Hoc Networks (VANETs)

An Overview of Security Services and Trust-Based Authentication Schemes in VANET

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