A Computational Intelligence Inspired Framework for Intrusion Detection in WSN

Vivek Kumar Pandey, Shiv Prakash, Tarun Kumar Gupta, Tiansheng Yang, Abhishek Singh, Rajkumar Singh Rathore

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this growing world of technology, the wide range of uses of wireless sensor networks (WSNs), such as tracking the environment and keeping an eye on the military, makes them indispensable in many applications. However, due to their open nature and limited resources, WSNs have become an easy target for different security threats, like intrusion attempts. Intrusion detection systems (IDSs) protect WSNs from these threats. This research examines the intrusion detection methods for WSNs and focuses on those that use computational intelligence. This review explores the usefulness of different computational intelligence methods in detecting intrusions in WSNs. It also suggests areas where more research is needed and offers possible directions for further exploration.
Original languageEnglish
Title of host publication 2024 International Conference on Decision Aid Sciences and Applications (DASA)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-4
Number of pages4
ISBN (Electronic)9798350369106
ISBN (Print)979-8-3503-6911-3
DOIs
Publication statusPublished - 17 Jan 2025
Event2024 International Conference on Decision Aid Sciences and Applications (DASA) - Manama, Bahrain
Duration: 11 Dec 202412 Dec 2024

Publication series

Name2024 International Conference on Decision Aid Sciences and Applications (DASA)
PublisherIEEE Computer Society

Conference

Conference2024 International Conference on Decision Aid Sciences and Applications (DASA)
Country/TerritoryBahrain
CityManama
Period11/12/2412/12/24

Keywords

  • Artificial Neural Networks (ANNs)
  • Computational Intelligence (CI)
  • Intrusion Detection System (IDS)
  • Particle Swarm Optimization (PSO)
  • Wireless Sensor Networks (WSNs)

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