Impact of gray hole attack in VANET

Verma, Swati; Mallick, Bhawna; Verma, Poonam

doi:10.1109/ngct.2015.7375097

Cited by 8 publications

(8 citation statements)

References 6 publications

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“…To evaluate the enhancement in routing performance achieved by SBGM mechanism, we first created the Attack-AODV (original AODV modified to perform the attack) protocol to simulate the smart black and gray hole attack in the network. Then, we compared the proposed approach (SBGM-AODV) with the Attack-AODV, and existing methods, Tyagi and Dembla [19], SVODR [43], Verma et al [12], and IDBA [8] based on packet delivery ratio, throughput, average end-to-end delay, and packet drop percentage.…”

Section: Results Analysis and Performance Comparison In Highway Scenariomentioning

confidence: 99%

“…However, the parameters used in simulation do not cope with a realistic VANET environment. In [12], the authors implemented the gray hole attack on the AODV routing protocol and studied its effect on VANET based on various network performance parameters. However, the evaluation is done using very low node density, which is not practical in VANET.…”

Section: Threshold-based Techniquesmentioning

confidence: 99%

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Detection and Mitigation of Smart Blackhole and Gray Hole Attacks in VANET Using Dynamic Time Warping

Krishnan

Kumar

2021

Wireless Pers Commun

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VANET topology is highly dynamic, wherein the vehicles frequently move across locations. Due to the continually changing topology and lack of security infrastructure, routing protocols in VANET are vulnerable to several attacks. In this paper, we focus on the black hole and the gray hole attacks due to its severity. In black hole and gray hole attacks, the attacker gains access to the wireless network and drops the received packets fully/ selectively that impacts on the safety applications of VANET. This paper presents a novel security approach called Smart Blackhole and Gray hole Mitigation (SBGM) to detect and mitigate both black hole and gray hole nodes in VANET using a time series analysis of the dropped packets of each node. The computation of the packet drop distance threshold based on Dynamic Time Warping improves the detection accuracy in SBGM. We assess the performance of SBGM using AODV and OLSR routing protocols under low-dense and high-dense traffic scenarios in terms of Packet Delivery Ratio, Throughput, Average Endto-End Delay, and Packet Drop percentage. From the experimental results, it is evident that the proposed SBGM outperforms the existing techniques in detecting the black and gray hole attacks. The proposed SBGM achieves a detection rate of 99.87% in highway scenarios and 99.68% in urban scenarios.

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Section: Results Analysis and Performance Comparison In Highway Scenariomentioning

confidence: 99%

Section: Threshold-based Techniquesmentioning

confidence: 99%

Detection and Mitigation of Smart Blackhole and Gray Hole Attacks in VANET Using Dynamic Time Warping

Krishnan

Kumar

2021

Wireless Pers Commun

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“…Gray hole assault is an extended version of black hole assault, wherein the malicious node also shows itself as part of the network. It sends a request message to victims' nodes and shows as the shortest path route node; in gray hole attacker [50] also received the data packets but did not drop all packets like black hole attack. It only dropped few data packets.…”

Section: Gray Hole Assaultmentioning

confidence: 99%

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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“…It is estimated that the first systems that will be this technology are police and fire vehicles to communicate with each other for the purpose of security. [1] Vehicular Ad-hoc Network (VANET) is not a new topic; it continues to provide new research challenges and problems. The main objective of VANET is to help a group of vehicles to set up and maintain a communication network among them without using any central base station or any controller.…”

Section: Introduction 11 Vanetmentioning

confidence: 99%

“…Figure 1.3: Gray Hole Attack2. Literature ReviewSwati Verma et.al[1] "Impact of Gray Hole Attack in V ANET" Faisal Khan et. al[2] "Recovering VANET Safety Messages in Transmission Holes" in this paper The core concern in vehicular ad hoc networks (VANETs) is the reliable transfer of safety-related messages to all endangered vehicles on the road.…”

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confidence: 99%

IDS System against Gray Hole Attack in VANET

2016

IJSR

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Impact of gray hole attack in VANET

Cited by 8 publications

References 6 publications

Detection and Mitigation of Smart Blackhole and Gray Hole Attacks in VANET Using Dynamic Time Warping

Detection and Mitigation of Smart Blackhole and Gray Hole Attacks in VANET Using Dynamic Time Warping

Security in Vehicular Ad Hoc Networks: Challenges and Countermeasures

IDS System against Gray Hole Attack in VANET

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