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Secured Cloud Data Migration Technique by Competent Probabilistic Public Key Encryption 被引量:3
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作者 M.G.Aruna k.g.mohan 《China Communications》 SCIE CSCD 2020年第5期168-190,共23页
Cloud computing, a recently emerged paradigm faces major challenges in achieving the privacy of migrated data, network security, etc. Too many cryptographic technologies are raised to solve these issues based on ident... Cloud computing, a recently emerged paradigm faces major challenges in achieving the privacy of migrated data, network security, etc. Too many cryptographic technologies are raised to solve these issues based on identity, attributes and prediction algorithms yet;these techniques are highly prone to attackers. This would raise a need of an effective encryption technique, which would ensure secure data migration. With this scenario, our proposed methodology Efficient Probabilistic Public Key Encryption(EPPKE) is optimized with Covariance Matrix Adaptation Evolution Strategies(CMA-ES). It ensures data integrity through the Luhn algorithm with BLAKE 2b encapsulation. This enables an optimized security to the data which is migrated through cloud. The proposed methodology is implemented in Open Stack with Java Language. It achieves better results by providing security compared to other existing techniques like RSA, IBA, ABE, PBE, etc. 展开更多
关键词 Luhn algorithm ENCRYPTION efficient probabilistic public key encryption(EPPKE) covariance matrix adaptation evolution strategies(CMA-ES) trusted third party(TTP)
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