Presentation 2016-03-03
Detection of Vulnerability Scanning Using Features of Collective Accesses Collected from Several Honeypots
Naomi Kuze, Shu Ishikura, Takeshi Yagi, Daiki Chiba, Masayuki Murata,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Attacks against websites are increasing rapidly with the expansion of web services. Diversifying web services make it difficult to prevent such attacks due to many unknown vulnerabilities in websites. To overcome this problem, we need to collect the most recent attacks using decoy web honeypots and to implement countermeasures against malicious threats. Web honeypots collect not only malicious accesses but also benign accesses such as those by web crawlers. Therefore, it is essential to identify automatically malicious accesses from mixed collected data. Specifically, detecting vulnerability scanning, which is a preliminary process of web attacks, is important for preventing attacks. In this study, we focused on classification of web crawler and vulnerability scanning since these are too similar to be identified. We propose feature vectors including features of collective accesses obtained with multiple honeypots deployed in different networks. Through our evaluation, we show that features of collective accesses are advantageous for web crawler and vulnerability scanning classification.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Intrusion detection / Web attacks / Classification / Features of collective accesses
Paper # ICSS2015-55
Date of Issue 2016-02-25 (ICSS)

Conference Information
Committee ICSS / IPSJ-SPT
Conference Date 2016/3/3(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Academic Center for Computing and Media Studies, Kyoto University
Topics (in Japanese) (See Japanese page)
Topics (in English) Information and Communication System Security, etc.
Chair Yutaka Miyake(KDDI R&D Labs.)
Vice Chair Takashi Nishide(Univ. of Tsukuba) / Yoshiaki Shiraishi(Kobe Univ.)
Secretary Takashi Nishide(Mitsubishi Electric) / Yoshiaki Shiraishi(NII)
Assistant Katsunari Yoshioka(Yokohama National Univ.) / Kazunori Kamiya(NTT)

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) Detection of Vulnerability Scanning Using Features of Collective Accesses Collected from Several Honeypots
Sub Title (in English)
Keyword(1) Intrusion detection
Keyword(2) Web attacks
Keyword(3) Classification
Keyword(4) Features of collective accesses
1st Author's Name Naomi Kuze
1st Author's Affiliation Osaka University(Osaka Univ.)
2nd Author's Name Shu Ishikura
2nd Author's Affiliation Osaka University(Osaka Univ.)
3rd Author's Name Takeshi Yagi
3rd Author's Affiliation Nippon Telegraph and Telephone Corporation(NTT)
4th Author's Name Daiki Chiba
4th Author's Affiliation Nippon Telegraph and Telephone Corporation(NTT)
5th Author's Name Masayuki Murata
5th Author's Affiliation Osaka University(Osaka Univ.)
Date 2016-03-03
Paper # ICSS2015-55
Volume (vol) vol.115
Number (no) ICSS-488
Page pp.pp.47-52(ICSS),
#Pages 6
Date of Issue 2016-02-25 (ICSS)