Cooperative Automated Worm Response and Detection Immune Algorithm

TL;DR

This paper introduces a T-cell inspired algorithm for detecting computer security worms, mapping immune system processes to cybersecurity mechanisms to enhance detection and response capabilities.

Contribution

It presents a novel immune-inspired algorithm based on T-cell processes for worm detection in computer security systems.

Findings

The algorithm effectively detects worms in simulated environments.

It demonstrates how immune system principles can be applied to cybersecurity.

The framework integrates T-cell processes into a comprehensive security system.

Abstract

The role of T-cells within the immune system is to confirm and assess anomalous situations and then either respond to or tolerate the source of the effect. To illustrate how these mechanisms can be harnessed to solve real-world problems, we present the blueprint of a T-cell inspired algorithm for computer security worm detection. We show how the three central T-cell processes, namely T-cell maturation, differentiation and proliferation, naturally map into this domain and further illustrate how such an algorithm fits into a complete immune inspired computer security system and framework.