Measuring Privacy in Online Social Networks

• DOI: 10.5121/ijsptm.2015.4201
• Publication Date: 2015-06-08T11:12:46Z
• Authors: Swathi Ananthula; Omar Abuzaghleh; Navya Bharathi Alla; Swetha Prabha Cha...; Pragna chowdary kaja; Deepthi Mogilineedi
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

Online Social Networking has gained tremendous popularity amongst the masses.It is usual for users of Networks (OSNs) to share information with friends however they lose privacy.Privacy become an important concern in online social networks.Users are unaware privacy risks involved when their sensitive network.[1] One fundamental challenging issues measurement .It hard networking sites and make adjust settings protect without practical effective way quantify , measure evaluate privacy.In this paper, we discussed Privacy Index (PIDX) which used a user's exposure network.We have also described calculated Quotient (PQ) i.e. metric profile using naive approach.[2] The should be aware quotient know where stand measuring scale.At last proposed model that will ensure unstructured data.It utilize Item Response Theory leaks messages text being posted by sites.