Produre: A novel proximity discovery mechanism in location tagging system

  • Authors:

  • Jianbin Hu;Yonggang Wang;Tao Yang;Zhi Guan;Nike Gui;Zhong Chen

  • Affiliations:

  • Key Laboratory of High Confidence Software Technologies, Ministry of Education, China, School of Electronics Engineering and Computer Science, Peking University, China;Key Laboratory of High Confidence Software Technologies, Ministry of Education, China, School of Electronics Engineering and Computer Science, Peking University, China;Key Laboratory of High Confidence Software Technologies, Ministry of Education, China, School of Electronics Engineering and Computer Science, Peking University, China;Key Laboratory of High Confidence Software Technologies, Ministry of Education, China, School of Electronics Engineering and Computer Science, Peking University, China;Key Laboratory of High Confidence Software Technologies, Ministry of Education, China, School of Electronics Engineering and Computer Science, Peking University, China;Key Laboratory of High Confidence Software Technologies, Ministry of Education, China, School of Electronics Engineering and Computer Science, Peking University, China

  • Venue:
  • CISIS'11 Proceedings of the 4th international conference on Computational intelligence in security for information systems
  • Year:
  • 2011

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Abstract

Proximity discovery is a very interesting and useful technique which helps a user to find out his proximities who have the same or similar location with him during a certain period of time. However, current methods of discovering proximities are difficult to adopt and vulnerable when wrong location tags are provided. This paper proposes Produre, a novel proximity discovery mechanism in location tagging system based on users' credibility degrees and online social network. The introduction of online social network helps to maintain the relationship and location exposure policies between friends. The users' credibilities help to diminish the bad influence of malicious users who always annotate wrong location tags because the credibility scores change based on users' performance. The experimental results by our prototype illustrate Produre can effectively discover proximities of a user in an efficient and accurate way with high quality and fewer mistakes.