Survey on Trust Based Secure Friend Recommendation System for OSN Using C4.5
Keywords:
Online, Social Network, Multi Hop Relationship, Trust Value, Privacy, C4.5Classifier.Abstract
To connected with world online communication and sharing information using the social network sites become a very famous in recent days. But it’s 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.
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