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Cloud systems are powerful computing resources used inevitably for data subscription and publication. Even though the cloud platform can handle the huge volume of data, privacy becomes a critical issue during data publishing. Hence, an effective technique for the privacy preservation of the data is required in the cloud computing environment. Accordingly, this paper proposes a technique for privacy protection using the dyadic product and an optimization algorithm. The privacy of the original database is protected by the construction of privacy preserved database using a dyadic square matrix obtained taking the dyadic product of two vectors, namely sensitive-utility (SU) coefficient and cumulative data key product. The selection of SU coefficient vector is based on the proposed (Crow search based Lion) C-Lion algorithm, which is designed by combining crow search algorithm with lion algorithm. The …