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International Journal of Scientific Development and Research - IJSDR
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Issue: October 2019

Volume 4 | Issue 10

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Paper Title: Detecting Black Hole Attack in Wireless Sensor Network using Trust Based Mechanism
Authors Name: Sukanya S Gaikwad
Unique Id: IJSDR1803009
Published In: Volume 3 Issue 3, March-2018
Abstract: : The paper aims to provide security to wireless sensor networks as they are prone to many types of attack. One of the major and most serious threat is the black hole attack. In a black hole attack all the packets are consecutively dropped which leads to the decrease in the efficiency of the network and unnecessary wastage of battery life. In this paper, we propose an exponential trust based mechanism to detect the malicious node. In the proposed method a Streak counter is deployed to store the consecutive number of packets dropped and a trust factor is maintained for each node. The trust factor drops exponentially with each consecutive packet dropped which helps in detecting the malicious node. The proposed method show a drastic decrease in the number of packets dropped before the node being detected as a malicious node.
Keywords: Keywords: Wireless Sensor Network, Black Hole Attack, Malicious Node, Streak Counter.
Cite Article: "Detecting Black Hole Attack in Wireless Sensor Network using Trust Based Mechanism", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 3, page no.31 - 36, March-2018, Available :http://www.ijsdr.org/papers/IJSDR1803009.pdf
Downloads: 0001442
Publication Details: Published Paper ID: IJSDR1803009
Registration ID:180065
Published In: Volume 3 Issue 3, March-2018
DOI (Digital Object Identifier):
Page No: 31 - 36
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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