Study on Codon Modulo Cryptosystem for Privacy Preservation of Vertically Partitioned Outsourced Data
Data is transferred across the cloud in a variety of ways. It is critical to protect data from unapproved users gaining access to it in any organisation. The information refuge is ensured by encoding plain text into an incomprehensible configuration using cryptographic computations, and these techniques are advocated for scrambling the text to ensure data security from aggressors. Deoxyribo Nucleic Acid (DNA) is a type of encryption used to protect data in distributed computing systems. To ensure security for transactional data, a Codon Modulo Cryptography-based Algorithm for vertically partitioned cloud data is used in this research. To aggregate the Association Rules among the Frequent Items in a scrambled exchange of vertically partitioned information base, Affiliation Rule Mining and Frequent Itemset techniques are used. The suggested Codon Modulo technique is compared to the traditional Homomorphic Encryption in the demonstration of Rule Mining computations such as Apriori, FP-Growth, and Eclat. The results show that the suggested algorithm outperforms Homomorphic Encryption in terms of performance while maintaining a good level of security.
Author (S) Details
M. YogasiniDepartment of Computer Science and Engineering,Manonmaniam Sundaranar University, Tirunelveli-6270122, India.
Dr. B. N. Prathibha
Department of Computer Science, G. Venkataswamy Naidu College, Kovilpatti, Thoothukudi-628502, India.
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