Black hole attack detection in vehicular ad-hoc network using secure AODV routing algorithm

Kumar, Ankit; Vijayakumar, V.; Kumar, Abhishek; Dadheech, Pankaj; Choudhary, Surendra Singh; Kumar, Vaibhav; Panigrahi, Bijaya Ketan; Veluvolu, Kalyana C.

doi:10.1016/j.micpro.2020.103352

Cited by 100 publications

(67 citation statements)

References 27 publications

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“…Our experiments were performed using the NS-2.35 simulator (NS-2.35 Network Simulator, 2020) with simulation parameters illustrated in Table 2 . We used NS-2.35 for its robustness and maturity, which is the industry standard for simulations, experiments, and testing in other studies (Kumar et al, 2020).…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…Our experiments were performed using the NS-2.35 simulator ( NS-2.35 Network Simulator, 2020 ) with simulation parameters illustrated in Table 2 ( Islam, Taha & Rowayda, 2017 ). We used NS-2.35 for its robustness and maturity, which is the industry standard for simulations, experiments, and testing in other studies ( Kumar et al, 2020 ). Although NS3 is recent compared to NS-2.35, the proposed work should be compared to previous work in ( Lim & Manivannan, 2016 ; Islam, Taha & Rowayda, 2017 ) using NS-2.35.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

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Efficient VANET safety message delivery and authenticity with privacy preservation

Mohamed

Ahmed

Sadek

2021

PeerJ Computer Science

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Vehicular ad-hoc networks (VANETs) play an essential role in the development of the intelligent transportation system (ITS). VANET supports many types of applications that have strict time constraints. The communication and computational overheads are minimal for these computations and there are many security requirements that should be maintained. We propose an efficient message authentication system with a privacy preservation protocol. This protocol reduces the overall communication and computational overheads. The proposed protocol consists of three main phases: the group registration phase, send/receive messages phase, and the leave/join phase. For cryptography algorithms, we combined symmetric and asymmetric key algorithms. The symmetric key was generated and exchanged without using the Diffie–Hellman (DH) protocol. Furthermore, we used an efficient version of the RSA algorithm called CRT-RSA. The experimental results showed that the computational overhead in the registration phase was significantly reduced by 91.7%. The computational overhead for sending and receiving the non-safety message phase was reduced by 41.2% compared to other existed protocols. Moreover, our results showed that the time required to broadcast a safety and non-safety group message was below 100 ms and 150 ms, respectively. The average computational time of sending and receiving a one-to-one message was also calculated. The proposed protocol was also evaluated with respect to performance and security and was shown to be invulnerable to many security attacks.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Section: Simulation Results and Discussionmentioning

confidence: 99%

Efficient VANET safety message delivery and authenticity with privacy preservation

Mohamed

Ahmed

Sadek

2021

PeerJ Computer Science

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“…The computation of reputation forms the basis of the model. The nodes should compute the reputation associated to neighbors' nodes [22]. This computation is operated with two sub phases.…”

Section: Phase 2: Computation Of Node Reputationmentioning

confidence: 99%

Sybil Attack with RSU Detection and Location Privacy in Urban VANETs: An Efficient EPORP Technique

Velayudhan

Anitha

Madanan

2021

Wireless Pers Commun

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Nowadays, Vehicular ad hoc networks (VANETs) has received interest in the research because it is used to provide the information for drivers and passengers. In the urban VANET, security and safety is a main issue in recent days because of different kinds of attacks. From the attacks, Sybil attack can be considered as a very difficult for urban VANET networks. Hence, in this paper Emperor Penguin Optimization based Routing protocol (EPORP) is developed for detecting the Sybil attack as well as increasing the system performance. The main objective of the research is detecting the Sybil attack as well as improve the security in VANETS. The initial objective is achieved with the help of Rumour riding technique which detect the Sybil attack in the urban VANET.Similarly, the security of the system is achieved with the help of Split XOR (SXOR) operation. In the SXOR operation, the optimal key is generated with the assistance of Emperor Penguin Optimization (EPO). The proposed method is implemented in NS2 platform and performances are evaluated by metrics such as delay, throughput, delay, encryption time and decryption time. The proposed method is compared with existing methods such as Whale Optimization Algorithm (WOA), Particle Swarm Optimization (PSO) and Firefly Algorithm (FA) respectively. While analyzing the delivery ratio, the proposed method has 0.96sec and the WOA, PSO and FA is 0.94, 0.92 and 0.90 respectively. From the analysis, the proposed method has the high delivery ratio value compared with the WOA, PSO and FA methods. Similarly, the other parameters are analyzed and compared with the existing methods.

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“…However, the delay was improved slightly but it is bearable when delivery got more smooth and better in many cases. [13] Suggested a new algorithm that improves the safety of the AODV routing protocol to come across the black hole attack [14,15]. A progressive type of network which gets handled by the independent node that does not belong to any particular constant network is known as Ad-hoc network.…”

Section: A Manetmentioning

confidence: 99%

Host based Detection and Prevention of Black Hole attacks by AODV-ICCSO Algorithm for security in MANETs

Sathyaraj¹,

D²,

Kannan³

2021

Preprint

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Background: Mobile Ad-hoc Networks (i.e.) MANETs are gaining rapid fame in recent days and are considered as very significant because of their easier implementation and growing property. Various types of attacks are prone to damage the networks due to the elastic property possessed by the network. And among different categories of attacks that can affect MANETs, black hole attack is considered as the commonly occurring one within a MANET. Chicken Swarm Optimization (CSO) algorithm is one among the technique used for the detection of black hole attacks occurring in the MANETs. But the CSO algorithm possesses some disadvantages and necessity rises for overcoming the weakness in the CSO algorithm. Objective: Therefore, in this research paper, to address the black hole attack in MANET, an Improved Crossover Chicken Swarm Optimization (ICCSO) algorithm and the concept of Enhanced Partially-Mapped Crossover operation proposed and the best fitness values obtained. Methods: In ICCSO algorithm, parameter initialization is carried out in step 1 of the algorithm, where the attacked nodes and non-attack nodes are created separately with the aid of parameters like PDR (i.e.) Packet Delivery Ratio and RSSI (i.e.) Received Signal Strength Indicator. Further, If the node is affected by any attack, then the nodes are discarded and the data is transmitted through the non-attacked node. Routing is carried by a protocol of AODV.Results: The effectiveness of the algorithm proposed in the work is evaluated using various performance measures like packet delivery ratio (PDR), end-to-end delay (EED) and throughput. The performance measures are compared with a different state of the art routing protocols and it can be inferred that the proposed methodology comes up with improved results.

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Black hole attack detection in vehicular ad-hoc network using secure AODV routing algorithm

Cited by 100 publications

References 27 publications

Efficient VANET safety message delivery and authenticity with privacy preservation

Efficient VANET safety message delivery and authenticity with privacy preservation

Sybil Attack with RSU Detection and Location Privacy in Urban VANETs: An Efficient EPORP Technique

Host based Detection and Prevention of Black Hole attacks by AODV-ICCSO Algorithm for security in MANETs

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