| Project/Area Number |
15K00434
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Web informatics, Service informatics
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| Research Institution | University of Tsukuba |
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Principal Investigator |
Sato Akira 筑波大学, システム情報系, 准教授 (90285429)
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| Research Collaborator |
YAMAKADO Aya 筑波大学, システム情報工学研究科・コンピュータサイエンス専攻
WATANABE Kodai 筑波大学, システム情報工学研究科・コンピュータサイエンス専攻
ITOH Kohei 筑波大学, システム情報工学研究科・コンピュータサイエンス専攻
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | 情報システム / 情報通信工学 / セキュア・ネットワーク / 異なり数 / ネットワーク / 異常検知 / セキュリティ |
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| Outline of Final Research Achievements |
A cardinality count analysis is useful as a method for detecting abnormal use of network systems. We study the the appropriate value of a threshold, which is one of parameters to be set in the cardinality count algorithm, by applying the cardinality count analysis for various cases. From results of this study, we found the value of threshold must be determined in consideration of the method of utilizing the analysis result and a domain of attribute value.
In addition, when the attribute value is a continuous value, we found the variance and the average of the attribute values in each element of the subset aggregated by the algorithm is shown same characteristics as the cardinality count.
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