Q-Learning-based detection of IPv6 intrusions: a behavioral and performance study

Intrusion attacks remain a persistent threat in computer networks, occurring unpredictably across various geographic locations. Among these, IPv6-based flood attacks are particularly concerning due to the expanded address space, which enables the transmission of large packets. This problem can signi...

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Bibliographic Details

Main Authors:	Daru, April Firman, Hirzan, Alauddin Maulana, Mahmod Attar Bashi, Zainab Senan, Fanani, Fajriannoor
Format:	Proceeding Paper
Language:	en en
Published:	IEEE 2025
Subjects:	QA75 Electronic computers. Computer science QA76 Computer software TK7885 Computer engineering
Online Access:	http://irep.iium.edu.my/126360/1/126360_Q-Learning-based%20detection.pdf http://irep.iium.edu.my/126360/7/126360_Q-Learning-based%20detection_SCOPUS.pdf http://irep.iium.edu.my/126360/ https://ieeexplore.ieee.org/document/11291642
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