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Review of Machine Learning Techniques for Detection of Routing Attacks in Wireless Sensor Network

by Shraddha Sarode
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 27
Year of Publication: 2021
Authors: Shraddha Sarode
10.5120/ijca2021921657

Shraddha Sarode . Review of Machine Learning Techniques for Detection of Routing Attacks in Wireless Sensor Network. International Journal of Computer Applications. 183, 27 ( Sep 2021), 30-34. DOI=10.5120/ijca2021921657

@article{ 10.5120/ijca2021921657,
author = { Shraddha Sarode },
title = { Review of Machine Learning Techniques for Detection of Routing Attacks in Wireless Sensor Network },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2021 },
volume = { 183 },
number = { 27 },
month = { Sep },
year = { 2021 },
issn = { 0975-8887 },
pages = { 30-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number27/32099-2021921657/ },
doi = { 10.5120/ijca2021921657 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:18:03.561027+05:30
%A Shraddha Sarode
%T Review of Machine Learning Techniques for Detection of Routing Attacks in Wireless Sensor Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 27
%P 30-34
%D 2021
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wireless sensor networks are widely applied in many fields like transportation, urban terrain tracking, healthcare, precision agriculture, etc. However, this deployment has introduced new security concerns. These security concerns involve two kinds of attacks on wireless sensor networks active and passive. Passive attacks are launched to observe the network without disrupting network functionality. Active attacks can disrupt the function of the network and can be initiated on layers of communication protocol. Active attacks that are related to network layer routing attacks are presented. For the last decade, machine learning algorithms have been used in many important applications, including detection of routing attacks. The objective of this paper is to review machine learning algorithms that can be used to detect routing attacks in wireless sensor networks. In this paper, evaluation parameters and challenges of applying machine learning algorithms in wireless sensor networks are also discussed. These challenges can serve as potential future research directions.

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Index Terms

Computer Science
Information Sciences

Keywords

Machine learning wireless sensor network security routing attacks detection security.

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