Privacy Aware Semantics Based Prevention of Information Spread in Online Social Networks
Aishwarya Kannan
, Bhuvaneswari Anbalagan
Online Social Networks, Information Leakage, Dissemination, Relationship Strength, Semantic Annotation, Sensitivity Analysis
Online Social Networks (OSN) consists of enormous amount information shared by the OSN users. Hence information privacy has become a major concern in the OSN. In OSN, users share certain sensitive information which are easily leaked and disclosed by other users in the social network. This is because the users lack the knowledge of the access control mechanisms available in order to prevent such information leakage and are also unaware about data privacy. Therefore there is a need to automatically protect the information disclosed in the OSN. Previously a trust based analysis was done by measuring the trust between the users in the OSN with respect to their privacy awareness. But quantitatively measuring the trust for users in such a largely growing and dynamically changing social network has become a tedious task. Moreover the sensitivity of the information shared was not taken into consideration. Hence an automatic semantic annotation method was proposed which analyses the sensitivity of the information and provides access control by sanitizing the sensitive terms present in the information. The sensitivity analysis was improvised by considering the relationship strength between the users concerning the particular sensitive topic. Experiments were conducted and it was further analyzed that the proposed methodology is more effective and also the performance of the proposed methodology scales well linearly. Hence an effective and an automatic method to prevent information leakage in the OSN is proposed which correlated with the privacy settings provided by the user.
"Privacy Aware Semantics Based Prevention of Information Spread in Online Social Networks", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 3, page no.433 - 444, March-2019, Available :https://ijsdr.org/papers/IJSDR1903075.pdf
Volume 4
Issue 3,
March-2019
Pages : 433 - 444
Paper Reg. ID: IJSDR_190279
Published Paper Id: IJSDR1903075
Downloads: 000347197
Research Area: Engineering
Country: Chennai, Tamil Nadu, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
