Implementation of Watchdog Protocol with AODV in Mobile Ad Hoc Network

Varshney, Tarun; Sharma, Tushar; Sharma, Pankaj

doi:10.1109/csnt.2014.50

Cited by 32 publications

(18 citation statements)

References 7 publications

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“…Hence, the proposed solution can be said to provide a reliable authentication of the transmitted messages within multiple nodes in VANET. Varshney et al (2014) addressed that black hole attach usually attempt to send route response incorrectly to destination with minimum hop count which results in slowing down the packet delivery ration based on this malicious node in a network. However, the proposed solution was found to provide a compatible packet delivery ration in which transmitted packets are examined for any potential attack within nodes.…”

Section: Discussionmentioning

confidence: 99%

Performance Evaluation of Blackhole Attack on AODV in VANET

Saad

2018

American Journal of Applied Sciences

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Black hole is one of the ongoing network threats that impact the physical components of Vehicular Ad hoc Networks (VANETs) when more layers deal with routing mechanism of vehicular ad hoc network. An algorithm for Ad hoc On-Demand Distance Vector (AODV) protocol in VANET was developed in order to identify collaborative group of nodes that behave as black hole. The simulation was configured to perform three scenarios with number of nodes set to 10, 20 and 40 nodes respectively. The result showed that the proposed algorithm provides a better throughput performance, less end to end delay, high packet delivery ration, less packet drops and less time for processing the incoming and outgoing nodes. Future works may consider testing the proposed solution on other types of attacks such as Wormhole, Jellyfish and Sybil attacks.

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Section: Discussionmentioning

confidence: 99%

Performance Evaluation of Blackhole Attack on AODV in VANET

Saad

2018

American Journal of Applied Sciences

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“…Varshney et al, [20] proposed a monitoring method called Watchdog AODV mechanism to form detect black hole nodes in mobile adhocnetworks.In this method nodes act as watchdogs monitor their neighbors locally using control messages by listening to all nodes within transmission range to detect misbehaving as well as black hole node. Black hole node once detected, is excluded from the path of transmitting messages.…”

Section: S S Bajwa and M K Khanmentioning

confidence: 99%

A Survey of Black Hole Detection Techniques in WSNs

Kumar¹,

Sangwan²

2015

International Journal of Advanced Research in Computer and Comm

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Wireless Sensor Networks (WSN) is a trending technology now-a-days and has a wide range of applications such as battlefield surveillance, traffic surveillance, forest fire detection, flood detection etc. But wireless sensor networks are susceptible to a variety of potential attacks which obstructs the normal operation of the network. Black hole attack is one of severe security threat that affects the network from its normal functioning by maliciously advertising itself having shortest route to the destination and then drops all receiving packets. There are lots of mechanisms have been proposed to defend network from black hole attack, but none of the solution looks most promising to defend against black hole attack. So in this paper, we have surveyed and compared the existing solutions to black hole attacks on AODV protocol. Tabular representation of comparison depicts clear picture of these solutions.

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“…Thus, the trust of path is equal to the most unreliable link of that path. This mechanism is simulated in MATLAB 2013a and is compared against W-AODV [34] for parameters like PDR, control overhead, accuracy and reliability of path. This mechanism proves to be efficient in formulating reliable paths and avoiding Blackhole attack.…”

Section: Trueness Levelmentioning

confidence: 99%