Survey on Trust Based Secure Friend Recommendation System for OSN Using C4.5

Authors(2) :-Pooja Jadhav, V. M. Barkade

To connected with world online communication and sharing information using the social network sites become a very famous in recent days. But itís very challenging job for social network site to provide the privacy and security. Active OSN user privacy protection by using proposed method which is allowing them to enhanced their social networks. To carry out the secured social directed coordinating, existing framework use the secure kNN plan. Yet, with the help of KNN, distance based learning is not clear which sort of distance to use and their component to use to give the best results and calculation expense is very high. This paper overcome this limitation and increased the outcomes precision, using framework utilizes C4.5 classifier for secure social coordinate matching. Through security analysis and trial outcomes, and demonstrate that the security, feasibility and precision.

Authors and Affiliations

Pooja Jadhav
Department of Computer Engineering, Rajashri Shahu College of engineering , Pune, Savitribai Phule, Pune University, Pune, Maharashtra, India
V. M. Barkade
Department of Computer Engineering, Rajashri Shahu College of Engineering, Pune, Savitribai Phule, Pune University, Pune, Maharashtra, India

Online, Social Network, Multi Hop Relationship, Trust Value, Privacy, C4.5Classifier.

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Publication Details

Published in : Volume 4 | Issue 8 | May-June 2018
Date of Publication : 2018-06-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 564-567
Manuscript Number : IJSRSET1848158
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Pooja Jadhav, V. M. Barkade, " Survey on Trust Based Secure Friend Recommendation System for OSN Using C4.5, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 8, pp.564-567, May-June-2018.
Journal URL : http://ijsrset.com/IJSRSET1848158

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