ICCCES-16

SOCIAL NETWORKING WITH PROTECTING SENSITIVE LABELS USING ANONYMIZATION METHODOLOGY (140587)

DOI :

Abstract : The use of social network sites goes on increasing day by day e.g. wiki vote,live journal social network,twitter,Linked In network. By victimization these social networks,users get a lot of helpful data of alternative userís like the user performance,non-public growth,spread of sickness,salaries etc. it's additionally vital that userís non-public data shouldn't get reveal. Thus,nowadays it 's essential to safeguard userís privacy and utilization of social network information. the bulk of developer developed privacy models like K-anonymity for protecting node or vertex reidentification in structure data. Userís privacy models get forced by alternative user, if a bunch of node for the most part shares similar sensitive labels then new users simply establish recent userís information, so solely structure an onymization technique isn't entirely protected or helpful he use of social network sites goes on increasing day by day e.g. wiki vote,live journal social network,twitter,Linked In network. By victimization these social networks,users get a lot of helpful data of alternative userís like the user performance,non-public growth,spread of sickness,salaries etc. it's additionally vital that userís non-public data shouldn't get reveal. Thus,nowadays it 's essential to safeguard userís privacy and utilization of social network information. the bulk of developer developed privacy models like K-anonymity for protecting node or vertex reidentification in structure data. Userís privacy models get forced by alternative user, if a bunch of node for the most part shares similar sensitive labels then new users simply establish recent userís information, so solely structure anonymization technique isn'tentirely protected or helpful

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Downloads : 1500

Publication Date :

Modified Date : 2016-01-30

Cite/Export :

Ms.Pallavi S.Kadam , Siddheshwar V. Patil , Anita A. Bhosale , "SOCIAL NETWORKING WITH PROTECTING SENSITIVE LABELS USING ANONYMIZATION METHODOLOGY", IJIERT - International Journal of Innovations in Engineering Research and Technology, ICCCES-16, ISSN : 2394-3696, Page No.