Detection of black hole in Wireless Sensor Network based on Data Mining

Kaur, Gursheen; Singh, Mandeep

doi:10.1109/confluence.2014.6949343

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Black Hole Attack1

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2015

2023

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Cited by 9 publications

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“…1, April 2020 node. The IDS for detecting black hole attack in WSN was proposed in [26], [32], [33], [38], [39].…”

Section: Black Hole Attackmentioning

confidence: 99%

A Study on Intrusion Detection System in Wireless Sensor Networks

Godala

Vaddella²

2022

Int. j. commun. netw. inf. secur.

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The technology of Wireless Sensor Networks (WSNs) has become most significant in present day. WSNs are extensively used in applications like military, industry, health, smart homes and smart cities. All the applications of WSN require secure communication between the sensor nodes and the base station. Adversary compromises at the sensor nodes to introduce different attacks into WSN. Hence, suitable Intrusion Detection System (IDS) is essential in WSN to defend against the security attack. IDS approaches for WSN are classified based on the mechanism used to detect the attacks. In this paper, we present the taxonomy of security attacks, different IDS mechanisms for detecting attacks and performance metrics used to assess the IDS algorithm for WSNs. Future research directions on IDS in WSN are also discussed.

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“…1, April 2020 node. The IDS for detecting black hole attack in WSN was proposed in [26], [32], [33], [38], [39].…”

Section: Black Hole Attackmentioning

confidence: 99%