Presentation 2024-03-21
An Examination of Privacy-Aware Malicious Activity Detection Methods Using NII-SOCS Benchmark Data
Takeshi Ogawa, Hirokazu Hasegawa, Yukiko Yamaguchi, Hajime Shimada,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Detection of malicious communications from communication logs may pose a risk of privacy infringement as it requires monitoring all activities on users' networks. However, the utilization of anonymized data for the purpose of utilizing big data to improve society is moving towards permission with amendments to the Personal Information Protection Law. Our prior work proposes partially anonymized methods aimed to balance detection accuracy and avoidance of individual identification. In prior evaluation, we performed anonymization that preserves information for privacy-sensitive features to publicly available communication dataset and evaluated benign/malicious traffic classifiers that is created under anonymization. The prior communication dataset is derived from honeypot. However, in this study, we evaluated the performance of classifiers created with NII-SOCS benchmark dataset that reflects much more real-world communication characteristics and evaluated an impact of each feature on performance. Furthermore, we evaluated performance of classifiers using different datasets during training and classification.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Malicious Traffic Detection / Traffic Logs / Privacy / Anonymization
Paper # ICSS2023-80
Date of Issue 2024-03-14 (ICSS)

Conference Information
Committee ICSS / IPSJ-SPT
Conference Date 2024/3/21(2days)
Place (in Japanese) (See Japanese page)
Place (in English) OIST
Topics (in Japanese) (See Japanese page)
Topics (in English) Security, Trust, etc.
Chair Daisuke Inoue(NICT)
Vice Chair Akira Yamada(Kobe Univ.) / Toshihiro Yamauchi(Okayama Univ.)
Secretary Akira Yamada(Mitsubishi Electric) / Toshihiro Yamauchi(Univ. of Electro-Comm.)
Assistant Yo Kanemoto(NTT) / Masaya Sato(Okayama Prefectural Univ.)

Paper Information
Registration To Technical Committee on Information and Communication System Security / Special Interest Group on Security Psychology and Trust
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Examination of Privacy-Aware Malicious Activity Detection Methods Using NII-SOCS Benchmark Data
Sub Title (in English)
Keyword(1) Malicious Traffic Detection
Keyword(2) Traffic Logs
Keyword(3) Privacy
Keyword(4) Anonymization
1st Author's Name Takeshi Ogawa
1st Author's Affiliation Nagoya University(Nagoya Univ.)
2nd Author's Name Hirokazu Hasegawa
2nd Author's Affiliation National Institute of Informatics(NII)
3rd Author's Name Yukiko Yamaguchi
3rd Author's Affiliation Nagoya University(Nagoya Univ.)
4th Author's Name Hajime Shimada
4th Author's Affiliation Nagoya University(Nagoya Univ.)
Date 2024-03-21
Paper # ICSS2023-80
Volume (vol) vol.123
Number (no) ICSS-448
Page pp.pp.79-84(ICSS),
#Pages 6
Date of Issue 2024-03-14 (ICSS)