Presentation 2017-12-10
A study on web page tamper detection method using natural language processing.
Shotaro Aikawa, Masaki Inamura,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Web page attack methods diversify just like daily updated vulnerability information, it is difficult to detect attacks beforehand to prevent all attacks, and administrators always keep security information up to date and manage It is difficult to do. Therefore, it is necessary to have a detection method when the attack succeeds and the Web page is tampered with. In this research, we store the past log of the Web page inside the terminal possessed by the client and analyze the content contained in the page using natural language processing, thereby checking whether the Web page tampering has occurred We have proposed, implemented and evaluated a system that can judge. As a result, we found that it is possible to detect tampering with a page that expresses a criminal statement or political thought, etc., in which significant rewriting of content occurs.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Web Security / Morphological analysis / Natural language processing
Paper # TL2017-49
Date of Issue 2017-12-03 (TL)

Conference Information
Committee TL
Conference Date 2017/12/10(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Ehime University
Topics (in Japanese) (See Japanese page)
Topics (in English) Theme 1: Measurement of outcomes in the assessment of educational program, Theme 2: Language and Thought
Chair Masami Suzuki(KDDI Research)
Vice Chair Tadahisa Kondo(Kogakuin Univ.) / Chiaki Kubomura(Yamano College of Aesthetics)
Secretary Tadahisa Kondo(Kobe Gakuin Univ.) / Chiaki Kubomura(Kyoto Institute of Technology)
Assistant Nobuyuki Jincho(Waseda Univ.) / Noriaki Takada(Ferris Univ.)

Paper Information
Registration To Technical Committee on Thought and Language
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A study on web page tamper detection method using natural language processing.
Sub Title (in English)
Keyword(1) Web Security
Keyword(2) Morphological analysis
Keyword(3) Natural language processing
1st Author's Name Shotaro Aikawa
1st Author's Affiliation Tokyo Denki University(TDU)
2nd Author's Name Masaki Inamura
2nd Author's Affiliation Tokyo Denki University(TDU)
Date 2017-12-10
Paper # TL2017-49
Volume (vol) vol.117
Number (no) TL-341
Page pp.pp.31-36(TL),
#Pages 6
Date of Issue 2017-12-03 (TL)