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Research on Virus Detection Based on Artificial Immune System

Author: LiPeng
Tutor: ZhangHongQi
School: PLA Information Engineering University
Course: Computer technology
Keywords: Artificial Immune System Virus Detection System Security Network Security
CLC: TP309.5
Type: Master's thesis
Year: 2008
Downloads: 45
Quote: 0
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Abstract


Since the computer virus in the mid-eighties of the last century , has been engaged in constant evolution and the rapid development of its type and quantity continues to increase . Computer viruses not only in the number soared , and with the development of computer technology in the design of technology development . Computer virus detection has drawn increasing attention of the industry , a large number of variants of the virus so that the traditional method of virus detection powerless . The study by the characteristics of the human immune system and its application in virus detection , virus detection model based on their ideas will greatly improve the security of computer networks . Detailed study on the basis of the characteristics of the artificial immune and virus detection , analysis of the feasibility and necessity of the use of artificial immune theory to solve the problem of virus detection , to build an intelligent self-learning , adaptive , distributed and extended functionality virus detection model , the model selected by cloning , virus identification algorithm design and implementation, can take the initiative to find known and unknown viruses , has a very important practical significance to resolve the current network security issues . This paper include the following aspects : 1 , artificial immune systems , and the principles and characteristics of the virus detection research, pointed out the similarity of both places , and learn from , turn -based artificial immune the operability of the virus detection model was analyzed. 2 , on the basis of the existing artificial immunology research , proposes a virus detection model based on artificial immune adaptive characteristics of the model , the relationship between the main body of each function , clonal selection algorithm , virus identification algorithm The problem analysis and testing .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > General issues > Security and confidentiality > Computer viruses and prevention
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