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DCNL : Disclosure Control of Natural Language Information to Enable Secure and Enjoyable E-Communications

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJUNESST) 바로가기
  • 간행물
    International Journal of u- and e- Service, Science and Technology 바로가기
  • 통권
    vol.3 no.1 (2010.03)바로가기
  • 페이지
    pp.1-10
  • 저자
    Haruno Kataoka, Natsuki Watanabe, Keiko Mizutani, Hiroshi Yoshiura
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A148505

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원문정보

초록

영어
Natural language communications using social networking and blogging services can result in the undesired revelation of private information. Existing disclosure control is tedious and error-prone because the user must set the disclosure level manually and must reconsider the level every time a new text is to be uploaded. This can lead to the revelation of private information or reduced enjoyment of the communication due to either disclosing too much text or hiding text that is meant to be shared. To solve these problems, we are developing a new disclosure control mechanism called DCNL or disclosure control of natural language information. DCNL automatically checks texts uploaded to social networking services or blog pages, detects words that might reveal private information, and warns the user about them. The granularity of DCNL is not the text but the words in the text. Consequently, it is not tiresome for the user and balances the protection of privacy with the enjoyment of communications. DCNL checks not only words that directly represent private information but also those that indirectly suggest it. Combinations of words are also checked. Analysis of the co-occurrence between words and reachability analysis with a search engine are used to infer what words imply what information.

목차

Abstract
 1. Introduction
 2. Example Analysis and Requirements
  2.1. Unsafe Expressions
  2.2. Desirable Transformation
  2.3. Requirements for DCNL
 3. DCNL Design
  3.1. System Structure
  3.2. Knowledge of Sensitive Phrases and Suggestive Relations
  3.3. Suggestion Matrix and Generation Algorithm
  3.4. Detection of Problematic Words and Warning
 4. Simulation
 5. Conclusion and Future Work
 References

키워드

SNS social networking service privacy disclosure control

저자

  • Haruno Kataoka [ NTT Information Sharing Platform Laboratories ]
  • Natsuki Watanabe [ Graduate school of Electro-Communications, University of Electro-Communications ]
  • Keiko Mizutani [ Graduate school of Electro-Communications, University of Electro-Communications ]
  • Hiroshi Yoshiura [ Graduate school of Electro-Communications, University of Electro-Communications ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of u- and e- Service, Science and Technology
  • 간기
    격월간
  • pISSN
    2005-4246
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology vol.3 no.1

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