Presentation 2022-03-10
User Attribute Analysis Based on Similarity of DNS Query Logs.
Akiko Yano, Daiki Nobayashi, Kazuya Tsukamoto, Takeshi Ikenaga,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) It is expected to realize selective and effective information distribution for users of smart devices, such as providing appropriate tourism information for foreign visitors to Japan. In the places where tourists from various countries and regions tend to gather, the interest differs according to the nationality of the tourists. If the information suitable for the user’s attribute can be appropriately distributed, it is possible to urge the user to purchase goods and travel to other regions. Therefore, it is one of the mostimportant functions to grasp the attribute of a user using a portable device, and the nationality information of foreign tourists becomes the important attribute information. In this study, we analyze the characteristics of each device using the domain information included in the DNS query log. The country code TLD (ccTLD) is extracted from the domain name queried by each user, and then the access frequency and distribution for ccTLD are analyzed. From the result, the method which classifies the user group with the features of a similar nationality is examined.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) User analysis / Query log
Paper # NS2021-129
Date of Issue 2022-03-03 (NS)

Conference Information
Committee NS / IN
Conference Date 2022/3/10(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) General
Chair Akihiro Nakao(Univ. of Tokyo) / Kenji Ishida(Hiroshima City Univ.)
Vice Chair Tetsuya Oishi(NTT) / Kunio Hato(Internet Multifeed)
Secretary Tetsuya Oishi(NTT) / Kunio Hato(Chuo Univ.)
Assistant Kotaro Mihara(NTT)

Paper Information
Registration To Technical Committee on Network Systems / Technical Committee on Information Networks
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) User Attribute Analysis Based on Similarity of DNS Query Logs.
Sub Title (in English)
Keyword(1) User analysis
Keyword(2) Query log
1st Author's Name Akiko Yano
1st Author's Affiliation Kyushu Institute of Technology(KIT)
2nd Author's Name Daiki Nobayashi
2nd Author's Affiliation Kyushu Institute of Technology(KIT)
3rd Author's Name Kazuya Tsukamoto
3rd Author's Affiliation Kyushu Institute of Technology(KIT)
4th Author's Name Takeshi Ikenaga
4th Author's Affiliation Kyushu Institute of Technology(KIT)
Date 2022-03-10
Paper # NS2021-129
Volume (vol) vol.121
Number (no) NS-433
Page pp.pp.43-46(NS),
#Pages 4
Date of Issue 2022-03-03 (NS)