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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Privacy Aware Semantics Based Prevention of Information Spread in Online Social Networks |
| Authors Name: | Aishwarya Kannan , Bhuvaneswari Anbalagan |
| Unique Id: | IJSDR1903075 |
| Published In: | Volume 4 Issue 3, March-2019 |
| Abstract: | 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. |
| Keywords: | Online Social Networks, Information Leakage, Dissemination, Relationship Strength, Semantic Annotation, Sensitivity Analysis |
| Cite Article: | "Privacy Aware Semantics Based Prevention of Information Spread in Online Social Networks", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.4, Issue 3, page no.433 - 444, March-2019, Available :http://www.ijsdr.org/papers/IJSDR1903075.pdf |
| Downloads: | 000337070 |
| Publication Details: | Published Paper ID: IJSDR1903075 Registration ID:190279 Published In: Volume 4 Issue 3, March-2019 DOI (Digital Object Identifier): Page No: 433 - 444 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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