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An Adaptive Intrusion Detection System for WSN using Reinforcement Learning and Deep Classification.

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Bibliographic Details
Title: An Adaptive Intrusion Detection System for WSN using Reinforcement Learning and Deep Classification.
Authors: Hussain, Saqib1 (AUTHOR) saqibhussain@emails.bjut.edu.cn, He, Jingsha1 (AUTHOR) jhe@bjut.edu.cn, Zhu, Nafei1 (AUTHOR) znf@bjut.edu.cn, Mughal, Fahad Razaque1 (AUTHOR) fahad@emails.bjut.edu.cn, Hussain, Muhammad Iftikhar1 (AUTHOR) hussain@emails.bjut.edu.cn, Algarni, Abeer D.2 (AUTHOR) adalqarni@pnu.edu.sa, Ahmad, Sadique3 (AUTHOR) ahmad01.shah@ieee.org, Zarie, Mira M.4 (AUTHOR) Mira.mohsen@bue.edu.eg, Ateya, Abdelhamied A.3,5 (AUTHOR) aateya@psu.edu.sa
Source: Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Aug2025, Vol. 50 Issue 15, p12463-12477. 15p.
Database: Academic Search Ultimate
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ISSN:2193567X
DOI:10.1007/s13369-024-09769-x