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Research On Privacy Protection Technology About Personal Feeling Based Location Anonymity

Posted on:2012-07-09Degree:MasterType:Thesis
Country:ChinaCandidate:F S YanFull Text:PDF
GTID:2218330362456522Subject:Computer software and theory
Abstract/Summary:PDF Full Text Request
Widespread uses of mobile positioning technology promoted the rapid development in location based service (LBS), people have realized the importance of individual location privacy protection, location based data privacy is one of the important research areas.Anonymous location information may be relevant with restricted space such as home address or office place, in this case, the location of mobile users privacy protection is a big challenge. The traditional position K-anonymous model must ensure submission service request position within the region at least K users visited. But K-value cannot objectively reflect the mobile user's privacy protection demand, because feeling of everyone only through a simple digital to embody is far from enough. Limitations of K-anonymous technology is only K mobile users present the same quantity or frequency service requests , It can obtain good anonymous effect. In personal feelings location privacy protection technology, mobile user specifies a anonymous standard range (ASR) that his(her) location privacy information can be protected enough. The "openness" to measure the area of effect based on the information theory of entropy, it has been as anonymous user ideal location privacy protection standards. The anonymous algorithm based on mobile user's position anonymous processing and became ending when the openness value of anonymous regional is equal to or greater than the ASR.According to the above theory, we design prototype system of relevant algorithm tests. The results showed that the "openness" is more flexibility than K-anonymous of K value. Based on personal feelings position anonymous technology is superior to K-anonymous in anonymous success rate and anonymous price.
Keywords/Search Tags:Privacy protection, Position anonymous, Anonymous standard range, Entropy, Popular, Openness
PDF Full Text Request
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