BOOK-CHAPTER

Multi-Agent Reinforcement Learning for Intrusion Detection: A Case Study and Evaluation

Arturo ServinDaniel Kudenko⋆

Year: 2008 Lecture notes in computer science Pages: 159-170   Publisher: Springer Science+Business Media
Keywords:
Reinforcement learning Computer science Intrusion detection system Wireless sensor network Coding (social sciences) Artificial intelligence Process (computing) Architecture Machine learning Distributed computing Computer network Programming language

Metrics

36
Cited By
0.00
FWCI (Field Weighted Citation Impact)
29
Refs
0.14
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Network Security and Intrusion Detection
Physical Sciences →  Computer Science →  Computer Networks and Communications
Artificial Immune Systems Applications
Physical Sciences →  Engineering →  Biomedical Engineering
Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications

Related Documents

BOOK-CHAPTER

Multi-Agent Reinforcement Learning for Intrusion Detection: A case study and evaluation

S Bretas ArturoK. Daniel

Frontiers in artificial intelligence and applications Year: 2008
BOOK-CHAPTER

Multi-agent Reinforcement Learning for Intrusion Detection

Arturo ServinDaniel Kudenko⋆

Lecture notes in computer science Year: 2008 Pages: 211-223
JOURNAL ARTICLE

Collaborative Multi-agent Reinforcement Learning for Intrusion Detection

Shi GuochenGang He

Journal:   2021 7th IEEE International Conference on Network Intelligence and Digital Content (IC-NIDC) Year: 2021
JOURNAL ARTICLE

Attention based multi-agent intrusion detection systems using reinforcement learning

Kamalakanta SethiY. Venu MadhavRahul KumarPadmalochan Bera

Journal:   Journal of Information Security and Applications Year: 2021 Vol: 61 Pages: 102923-102923
© 2026 ScienceGate Book Chapters — All rights reserved.