Summary
|
For Full-Text PDF, please login, if you are a member of IEICE, or go to Pay Per View on menu list, if you are a nonmember of IEICE. |
|
Analysis on the Sequential Behavior of Malware Attacks Nur Rohman ROSYID Masayuki OHRUI Hiroaki KIKUCHI Pitikhate SOORAKSA Masato TERADA Publication IEICE TRANSACTIONS on Information and Systems Vol.E94-D No.11 pp.2139-2149 Publication Date: 2011/11/01 Online ISSN: 1745-1361 DOI: 10.1587/transinf.E94.D.2139 Print ISSN: 0916-8532 Type of Manuscript: Special Section PAPER (Special Section on Information and Communication System Security) Category: Keyword: PrefixSpan, malware, botnets, coordinated attack, sequential pattern, Full Text: PDF(1.5MB)>>
Summary: Overcoming the highly organized and coordinated malware threats by botnets on the Internet is becoming increasingly difficult. A honeypot is a powerful tool for observing and catching malware and virulent activity in Internet traffic. Because botnets use systematic attack methods, the sequences of malware downloaded by honeypots have particular forms of coordinated pattern. This paper aims to discover new frequent sequential attack patterns in malware automatically. One problem is the difficulty in identifying particular patterns from full yearlong logs because the dataset is too large for individual investigations. This paper proposes the use of a data-mining algorithm to overcome this problem. We implement the PrefixSpan algorithm to analyze malware-attack logs and then show some experimental results. Analysis of these results indicates that botnet attacks can be characterized either by the download times or by the source addresses of the bots. Finally, we use entropy analysis to reveal how frequent sequential patterns are involved in coordinated attacks. | ||||||||||
| ||||||||||
