Computer Science ›› 2015, Vol. 42 ›› Issue (8): 170-174.

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Research of Danger Signal Extraction Based on Changes in Danger Theory

YANG Chao and LI Tao   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Danger theory is an important research branch in artificial immune system.It starts from the perspective of danger to describe the working principle of immune system in a new way,which has been widely used in intrusion detection,machine learning,data mining and so on.The primary issue of establishing a danger theory model is how to extract danger signals adaptively.This paper started from the main idea of changes leading to danger,and established an adaptive danger signal extraction model based on finding changes.According to the characteristics of different types of system resources,it designed two danger signal extraction methods:value changes and feature changes.The experiment verifies that this model can adaptively extract danger signals without relying on prior knowledge.

Key words: Artificial immune system,Danger theory,Danger signal,Change extraction

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