Authors - Nitesh Varman V R, Sanjith Ganesa P, Rahul Veeramachaneni, Korapati Mohan Aditya, Bagavathi Sivakumar Abstract - With the development of cloud computing and big data technology, data handling particularly in handling big data, while also mentioning the dangers of privacy and security violations in delegating the processing of sensitive data to cloud computing has increased. The conventional encryption method that demands the decryption of data for processing, which could result in the leakage of sensitive data and performance inefficiencies are no longer valid. The paper introduces the Optimized Privacy-Preserving Cryptographic Processing Algorithm (OPCPA), which reduces computational complexity through the use of light-weight encryption, adaptive data partitioning, hierarchical key management, and parallel processing of encrypted data. The proposed algorithm is compared to conventional methods using the KDD Cup 1999 dataset and outperforms them in terms of processing speed, throughput, and resource utilization.
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