Secured AODV Routing Protocol for the Detection and Prevention of Black Hole Attack in VANET

Lachdhaf, Salim; Mazouzi, Mohammed; Abid, Mohamed

doi:10.5121/acij.2018.9101

Cited by 14 publications

(5 citation statements)

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“…Furthermore, it assures transmitting data through it by presenting the shortest path to the receiver node [29,46]. e victim node chooses that shortest path and sends the data packet; any malicious node may drop the message or misuse the message for its own [41,47,48]. Figure 9 depicts that Car K desires to submit messages to Car P and Car Q, but it has no routing path for those nodes.…”

Section: Black Hole Assaultmentioning

confidence: 99%

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Security in Vehicular Ad Hoc Networks: Challenges and Countermeasures

Mahmood

Duan

et al. 2021

Security and Communication Networks

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Recently, vehicular ad hoc networks (VANETs) got much popularity and are now being considered as integral parts of the automobile industry. As a subclass of MANETs, the VANETs are being used in the intelligent transport system (ITS) to support passengers, vehicles, and facilities like road protection, including misadventure warnings and driver succor, along with other infotainment services. The advantages and comforts of VANETs are obvious; however, with the continuous progression in autonomous automobile technologies, VANETs are facing numerous security challenges including DoS, Sybil, impersonation, replay, and related attacks. This paper discusses the characteristics and security issues including attacks and threats at different protocol layers of the VANETs architecture. Moreover, the paper also surveys different countermeasures.

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Section: Black Hole Assaultmentioning

confidence: 99%

“…AOVD [28,47,61,63], in MANETs, AODV protocol, is used for on-demand routing purposes with reactive routing. In the AODV protocol, routing table is maintained to store the next node routing information, i.e., for the target location nodes, and each routing table is used for a specific time period.…”

Section: Ad Hoc On-demand Distance Vector (Aovd)mentioning

confidence: 99%

Security in Vehicular Ad Hoc Networks: Challenges and Countermeasures

Mahmood

Duan

et al. 2021

Security and Communication Networks

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show abstract

“…However, they concluded that the solution performed well without any evidence. Lachdhaf, Mazouzi & Abid (2018) [10] proposed an approach to detect and prevent blackhole attacks on a Vehicle Ad Hoc Network. They used Cyclic Redundancy Check 32-bit used as the hash function to store converted destination IP addresses in the Routing Request (RREQ) packet.…”

Section: A Specific Solutions For Blackhole Attacksmentioning

confidence: 99%

International Journal of Electronics and Telecommunications

Ahamed,

Fernando

2021

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Mobile Ad hoc Network (MANET) is a type of Ad hoc network. General properties of MANET open the network to various security threats. Network layer-based Active attacks are widespread and destructive. Available security solutions contain complex calculations. Therefore, the objective of this research is to propose a lightweight security mechanism to enhance the security of data communications between source and destination nodes in a MANET from network layer-based active attack. Blackhole is used as a network layer-based Active attack. The network performance is evaluated using Packet Delivery Ratio (PDR), Average End-to-End Delay (AEED), Throughput, and Simulation Processing Time at Intermediate Nodes (SPTIN). The controller network was used to compare the performance of each network. During the experiment due to the impact of the blackhole attack, compared to the controller network, the PDR was found to be 0.28%, AEED was infinity and Throughput was 0.33%. The performance of the proposed security mechanism was compared with that of the controller network, and the values of PDR, AEED, Throughput, and SPTIN were found to be 98.0825%, 100.9346%, 99.9988%, and 96.5660%, respectively. The data packet delivery ratio was 100.00% compared to that of the controller network. The network that was affected by a blackhole attack showed a higher amount of ADDR than the controller network and the lowest amount of PDR. The network that was affected by the blackhole showed underperformance compared to the controller network. The proposed security mechanism performs well in PDR, AEED, and Throughput compared to the controller network. The AEED and SPTIN values prove that the proposed solution is free from complex calculations. The scope of the solution can be expanded into a lightweight Intruder Detection System to handle different types of security attacks in MANETs.

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“…In VANET, the network is designed in an ad hoc manner in which different connecting devices and moving vehicles communicate wirelessly without preexisting communication infrastructure. Therefore, the lack of centralized management in VANET gives the vehicles the responsibility to play the role of a router forwarding traffic information from a source to a destination [4]. The vehicles use this information to become aware of the circumstances ahead or to collaborate with other vehicles to ensure safe operation.…”

Section: Introductionmentioning

confidence: 99%

Mitigating Blackhole and Greyhole Routing Attacks in Vehicular Ad Hoc Networks Using Blockchain Based Smart Contracts

Alabdulatif,

Alharbi,

Mchergui

et al. 2024

CMES

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The rapid increase in vehicle traffic volume in modern societies has raised the need to develop innovative solutions to reduce traffic congestion and enhance traffic management efficiency. Revolutionary advanced technology, such as Intelligent Transportation Systems (ITS), enables improved traffic management, helps eliminate congestion, and supports a safer environment. ITS provides real-time information on vehicle traffic and transportation systems that can improve decision-making for road users. However, ITS suffers from routing issues at the network layer when utilising Vehicular Ad Hoc Networks (VANETs). This is because each vehicle plays the role of a router in this network, which leads to a complex vehicle communication network, causing issues such as repeated link breakages between vehicles resulting from the mobility of the network and rapid topological variation. This may lead to loss or delay in packet transmissions; this weakness can be exploited in routing attacks, such as black-hole and gray-hole attacks, that threaten the availability of ITS services. In this paper, a Blockchain-based smart contracts model is proposed to offer convenient and comprehensive security mechanisms, enhancing the trustworthiness between vehicles. Self-Classification Blockchain-Based Contracts (SCBC) and Voting-Classification Blockchain-Based Contracts (VCBC) are utilised in the proposed protocol. The results show that VCBC succeeds in attaining better results in PDR and TP performance even in the presence of Blackhole and Grayhole attacks.

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Secured AODV Routing Protocol for the Detection and Prevention of Black Hole Attack in VANET

Abstract: ABSTRACT

Cited by 14 publications

References 0 publications

Security in Vehicular Ad Hoc Networks: Challenges and Countermeasures

Security in Vehicular Ad Hoc Networks: Challenges and Countermeasures

International Journal of Electronics and Telecommunications

Mitigating Blackhole and Greyhole Routing Attacks in Vehicular Ad Hoc Networks Using Blockchain Based Smart Contracts

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