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Publication Type : Conference Paper
Publisher : Advances in Intelligent Systems and Computing
Source : Advances in Intelligent Systems and Computing, 307–317 (2020)
Keywords : Classifiers, Internet fraud, Privacy leak, Security, Social media, Social platforms
Campus : Coimbatore
School : School of Engineering
Department : Computer Science
Year : 2020
Abstract : The rapid development of the online social media and its application has enabled people to share interests and activities, through the Internet using online social platforms. The enormous sharing of information in the media has enabled hackers to steal personal information about the user. This calls for improved schemes capable of mitigating Internet fraud, privacy leak, dissemination of rumors, etc. The unawareness that exists in the peers related to the risk associated with uploading sensitive information paves way for cyber conspirators to prey on personal information. Failure to apply security policies will easily compromise the social stature of the individual. The paper proposes a security framework SRR (Secure Request, Response) to classify the trust/distrust relationship in the online social network.
Cite this Research Publication : Neethu M. R. and Dr. Harini N., “Secure Request Response (SRR): A Framework to Classify Trust/Distrust Relationships in Social Networking”, in Advances in Intelligent Systems and Computing, 307–317, 2020.