Designing an Artificial Immune System inspired Intrusion Detection System
William Anderson, Kaneesha Moore, Jesse Ables, Sudip Mittal, and Shahram Rahimi, Ioana Banicescu, Maria Seale

TL;DR
This paper explores designing an AIS-inspired intrusion detection system based on biological immune principles, detailing the necessary design elements and proposing an architecture for implementation.
Contribution
It introduces a framework and architecture for AIS-based IDS, leveraging biological immune concepts like Self/Nonself and Danger Theory.
Findings
Proposed a comprehensive AIS-IDS architecture
Identified key design elements for AIS-IDS systems
Demonstrated potential for biologically inspired cybersecurity solutions
Abstract
The Human Immune System (HIS) works to protect a body from infection, illness, and disease. This system can inspire cybersecurity professionals to design an Artificial Immune System (AIS) based Intrusion Detection System (IDS). These biologically inspired algorithms using Self/Nonself and Danger Theory can directly augmentIDS designs and implementations. In this paper, we include an examination into the elements of design necessary for building an AIS-IDS framework and present an architecture to create such systems.
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Taxonomy
TopicsArtificial Immune Systems Applications · Advanced Malware Detection Techniques
