Preventing sensitive relationships disclosure for better social media preservation

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• 作者：Elie Raad ; Bechara Al Bouna…
• 关键词：Social media preservation ; Information disclosure ; Social networks ; Privacy ; Relationship discovery ; Crowdsourcing
• 刊名：International Journal of Information Security
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：15
• 期：2
• 页码：173-194
• 全文大小：1,644 KB
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• 作者单位：Elie Raad (1)
  Bechara Al Bouna (2)
  Richard Chbeir (3)
  
  1. Memorial University of Newfoundland, St. John’s, Canada
  2. Antonine University, Baabda, Lebanon
  3. Laboratoire LIUPPA, University of Pau and Adour Countries, Bayonne, France
  
• 刊物类别：Computer Science
• 刊物主题：Data Encryption
  Computer Communication Networks
  Operating Systems
  Coding and Information Theory
  Management of Computing and Information Systems
  Communications Engineering and Networks
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1615-5270

文摘

A fundamental aspect of all social networks is information sharing. It is one of the most common forms of online interaction that is tightly associated with social media preservation and information disclosure. As such, information sharing is commonly viewed as a key enabler for social media preservation tasks. In the current situation, where information sharing and inter-user communications are made instantly possible via the widespread use of ubiquitous technologies, privacy related, and particularly information disclosure issues, are the obvious, much discussed, immediate consequences of information sharing. As a result, information disclosure, especially when multimedia data come to play, is critical for appropriate social media preservation strategies that consider and respect the privacy of social network users. Social media preservation must align with privacy protection solutions and consequently must protect sensitive information that social network users would like to keep private. In this paper, we propose a new approach to implement a privacy-oriented social media preservation strategy that prevents the disclosure of sensitive information. Instead of using a preserve-all strategy, we present a framework to personalize social media preservation tasks. We then describe our proposed rule-based algorithm to evaluate information disclosure addressing mainly relationship type disclosure and using shared photos. We also provide an experimental study to investigate the efficiency and the relevance of our approach.