Abstract
The sign-in service of Mobile Social Networking Services (MSNS) has a serious issue of privacy disclosure. As to solving this issue, there is a method proposed to protect privacy. This method is to conduct binary coding for sign-in sequence and then construct ant path diagram. The random search, the positive and negative feedback principle of ant path graph are applied to mine frequent item sets. The longest common subsequence is achieved from sign-in sequence and corresponding frequent item sets. Finally, kanonymous sign-in sequence will be obtained. Based on real data, this method is compared with anonymity
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal of Grid and Distributed Computing
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.