Review on Generating Private Recommendations Using Elgamal Homomorphic Encryption

Provided by: The International Journal of Innovative Research in Computer and Communication Engineering
Topic: Security
Format: PDF
User's private or sensitive data can be misused because of curious administrators in online applications. Traditional ways of protecting data involve security of user's privacy against third party but not from the service provider. To protect user's data, the authors present an encryption technique and generate recommendations. Recommendations are generated by processing data under encryption. Generating recommendations have become an important research area for the purpose of user's privacy. By introducing a Multi-Party Computation technique (MPC) the active participation of user can be eliminated, system can secure user's private data and by comparing similarities generate recommendations.

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