K-Anonymous Privacy Preserving Technique for Participatory Sensing With Multimedia Data Over Cloud Computing
K.Lakshmi, J.Hemalatha, Farooq Basha, ,
Affiliations Asst.Prof, G.Pullaiah College of Engineering and Technology, Kurnool.
:10.22362/ijcert/2017/v4/i2/xxxx [UNDER PROCESS]
Nowadays distinctions of sensing facilities equipped with mobile wireless devices. Likewise, different service provider named participatory sensing system made available which gives outstanding life experience to users. Nevertheless, there are many challenges like privacy and multimedia data quality. There is no any earlier system that can resolve problems of confidentiality and quality, preserving participatory sensing system with multimedia data. Slicer is a K-anonymous privacy preservation scheme for participatory sensing with multimedia data over cloud framework. It combines data coding methods and message transfer strategies. To get the secure protection of user’s high data quality and also maintains privacy. Minimal Cost Transfer and Transfer On Meet-up, these are two data transfer strategies. For Minimal Cost Transfer, two parallel algorithms used. i.e., approximation algorithm and Heuristic algorithm. Slicer provides data quality with low communication.
K.Lakshmi et.al, “K-Anonymous Privacy Preserving Technique for Participatory Sensing With Multimedia Data Over Cloud Computing”, International Journal Of Computer Engineering In Research Trends, 4(2):48-52, February-2017.
Keywords : Cloud mobile sensing, privacy preservation, anonymity, data aggregation
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