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Research on the Worm Early Warning Based on Victim Behavior

Author: ZhangChi
Tutor: TianJunFeng
School: Hebei University
Course: Applied Computer Technology
Keywords: Internet Worm Early Warning Behavior Honeypot
CLC: TP393.08
Type: Master's thesis
Year: 2008
Downloads: 18
Quote: 0
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Abstract


Network worms, DDoS attack and junk mails were the top 3 network problems left by the last century. from the beginning of this century, worms have been broken out more frequently in larger scale, in present, the worm problem has been a fetal problem in the area of network security.There are several flaws in the worm detection, such as:should control large network to reduce the time delay, use the honeypot to detect the worm but cann’t analyse the data captured in real time, cann’t position the suspicious computer veraciously. in this paper, we take the research of local computer behavior as the key to solve the problem, and develop an algorithm ADSC based on the local computer behavior, then we develop an early warning model combined with the honeypot technic. ADSC could detect the worm in real time and position the problem computer veraciously. At last, the feasibility of this method was analysed, by comparing with existing methods, the new approach became more efficient, and had the characteristic of issuing warning at the early stage of worm propagation.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Computer network > General issues > Computer Network Security
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