Design and modeling an Adaptive Neuro-Fuzzy Inference System (ANFIS) for the prediction of a security index in VANET

Bensaber, Boucif Amar; Diaz, Caroly Gabriela Pereira; Lahrouni, Youssef

doi:10.1016/j.jocs.2020.101234

Cited by 24 publications

(12 citation statements)

References 19 publications

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“…An Adaptive Neuro-Fuzzy Inference Method (ANFIS) was proposed by Boucif Amar Bensaber et al [18] to get an expectation model of the VANET insurance index. Their strategy for research starts with network reproductions to secure an information base of attack events.…”

Section: Literature Reviewmentioning

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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Section: Literature Reviewmentioning

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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“…applications that reduce the number of road accidents and improve traffic conditions. (Amar Bensaber et al, 2020) Services related to comfort: VANETs will not only offer services related to the safety of vehicles and their occupants, but will also ensure the comfort of the latter during their trips.…”

Section: The Services Offered By Vanet Networkmentioning

confidence: 99%

Security Study of Routing Attacks in Vehicular Ad-Hoc Networks (Autonomous Car)

Lahdya

Mazri

2021

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. For the past twenty years, the automotive industry and research organizations have been aiming to put fully autonomous cars on the road. These cars which can be driven without the intervention of a driver, use several sensors and artificial intelligence technologies simultaneously, which allow them to detect the environment in order to merge the information obtained to analyze it, decide on an action, and to implement it. Thus, we are at the dawn of a revolution in the world of transport and mobility, which leads us to ensure the movement of the autonomous car in a safe manner. In this paper, we examine certain attacks on autonomous cars such as the denial of service attack, as well as the impact of these attacks on the last two levels of vehicle autonomy.

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“…The approach takes long observation time and hence, time taken for Sybil attack detection is more. Authors in [18], have proposed a methodology for Sybil attack detection, which is not dependent on any RSU. Threshold value is found by varying the number of attackers and no of Sybil identities created by attacker.…”

Section: Introductionmentioning

confidence: 99%

“…The detection is Sybil nodes is highly dependent on threshold value. So, careful selection of threshold value is main issue in the proposed paper [18]. Author in [19], also has developed an attack resistant model to counteract different types of VANET attacks such as Sybil attack, replay attack, denial of service, masquerade attack, message suppression attack.…”

Section: Introductionmentioning

confidence: 99%

Detection of Sybil & DDoS Attacks in VANET using Intelligent Technique

Bhanja,

Majhi,

Sahoo

et al. 2023

Preprint

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Vehicular Adhoc network (VANET) are more prone to various types of attacks. Sybil attack is the most dangerous attack in vehicular adhoc network as it creates multiple fake identities and creates traffic congestion.Fake identities are used to enter the network illegally.On the other hand, distributed denial of service (DDoS) attack intentionally blocks the users from accessing any online services. It temporarily disrupts or interrupts the service of the hosting server. These types of attacks in VANET cause severe damage to vehicles, passengers travelling in the vehicles by inducing traffic congestion, and may also cause minor or fatal accidents.Hence, it is highly essential to early detect such attacks in VANET to protect the vehicles and human kind. In this work, a novel model is proposed using fuzzy logic controllers (FLCs) to detect both the Sybil and the DDoS attacks in VANET. Furthermore, performance of attack detection is also analysed and compared with the existing techniques. The proposed model yields better accuracy, sensitivity, and recall value compared to the existing techniques. Margin of error for the attack detection is also estimated for 95% of the confidence interval.

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Design and modeling an Adaptive Neuro-Fuzzy Inference System (ANFIS) for the prediction of a security index in VANET

Cited by 24 publications

References 19 publications

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

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

Security Study of Routing Attacks in Vehicular Ad-Hoc Networks (Autonomous Car)

Detection of Sybil & DDoS Attacks in VANET using Intelligent Technique

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Design and modeling an Adaptive Neuro-Fuzzy Inference System (ANFIS) for the prediction of a security index in VANET

Cited by 24 publications

References 19 publications

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

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

Security Study of Routing Attacks in Vehicular Ad-Hoc Networks (Autonomous Car)

Detection of Sybil &amp; DDoS Attacks in VANET using Intelligent Technique

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Detection of Sybil & DDoS Attacks in VANET using Intelligent Technique