• Journal of the Korea Society of Computer and Information
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• v.10 no.6 s.38
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• pp.127-136
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• 2005

Recently, the damages occurring from the malware are increasing rapidly, regardless of continuous development of commercial vaccines . Generally, the vaccine detects well-known malware effectively, but it becomes helpless without any information against the unknown ones. Also, the malware generates its variations fast enough, so that the vaccine always gets behind in its updates. In this paper, we are describing a design and development of malware detection tool, which can detect such malware effectively. We first analyze the general functionality of the malware, and then extracts specific signatures. Such that, we can actively cope with a malware, which may come in previous type, a new type, and any of its mutations also.