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Practical Correlation Analysis between Scan and Malware Profiles against Zero-Day Attacks Based on Darknet Monitoring
Koji NAKAO Daisuke INOUE Masashi ETO Katsunari YOSHIOKA
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2009/05/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: INVITED PAPER (Special Section on Information and Communication System Security)
network monitoring, darknet malware analysis, sandbox, correlation analysis,
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Considering rapid increase of recent highly organized and sophisticated malwares, practical solutions for the countermeasures against malwares especially related to zero-day attacks should be effectively developed in an urgent manner. Several research activities have been already carried out focusing on statistic calculation of network events by means of global network sensors (so-called macroscopic approach) as well as on direct malware analysis such as code analysis (so-called microscopic approach). However, in the current research activities, it is not clear at all how to inter-correlate between network behaviors obtained from macroscopic approach and malware behaviors obtained from microscopic approach. In this paper, in one side, network behaviors observed from darknet are strictly analyzed to produce scan profiles, and in the other side, malware behaviors obtained from honeypots are correctly analyzed so as to produce a set of profiles containing malware characteristics. To this end, inter-relationship between above two types of profiles is practically discussed and studied so that frequently observed malwares behaviors can be finally identified in view of scan-malware chain.