| Budget Amount *help |
¥19,240,000 (Direct Cost: ¥14,800,000、Indirect Cost: ¥4,440,000)
Fiscal Year 2015: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2014: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2013: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2012: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2011: ¥3,380,000 (Direct Cost: ¥2,600,000、Indirect Cost: ¥780,000)
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| Outline of Final Research Achievements |
This research has developed IPv6 based honeypots by which the attacks various types of devices including IoT ones were observed. SVM based algorithm has been proposed to identify suspicious traffics. For detecting communication caused by malwares among the suspicious traffic, Fuzzy hashing based algorithm has also been developed. Because it is impossible to prepare clean teacher data for machine learning algorithms in advance, i.e., sets of completely clean sessions and those of completely malicious sessions, these algorithms can be utilized without teacher data.
These techniques were evaluated by real environment or benchmark data obtained from the real networks. As results, their feasibility was confirmed.
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