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http://dx.doi.org/10.9708/jksci.2014.19.7.077

A Realtime Malware Detection Technique Using Multiple Filter  

Park, Jae-Kyung (Cyber Security Research Center in KAIST)
Publication Information
Journal of the Korea Society of Computer and Information / v.19, no.7, 2014 , pp. 77-85 More about this Journal
Abstract
Recently, several environment damage caused by malicious or suspicious code is increasing. We study comprehensive response system actively for malware detection. Suspicious code is installed on your PC without your consent, users are unaware of the damage. Also, there are need to technology for realtime processing of Big Data. We must develope advanced technology for malware detection. We must analyze the static, dynamic of executable file for fundamentally malware detection in recently and verified by a reputation for verification. It is need to judgment of similarity for realtime response with big data. In this paper, we proposed realtime detection and verification technology using multiple filter. Our malware study suggests a new direction of realtime malware detection.
Keywords
Malware; Suspicious Code; Detection; Verify; Multiple Filter;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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