Securing Cloud Memory Through Efficient Deduplication Using Ecc Algorithm

Abstract

client-side data deduplication framework designed for enterprise utilization in cloud storage environments allows enterprises to conduct internal cross-user data deduplication and subsequently outsource the deduplicated data to the cloud. Furthermore, the cloud service provider performs cross-enterprise data deduplication to eliminate duplicates, leading to substantial cost and space savings. The framework's primary goal is to empower enterprises to securely and efficiently execute various operations, such as searching through encrypted data, sharing data within the organization, and directly downloading data from the cloud, all without needing to place complete trust in the cloud service provider. The study delves into cloud data security, focusing on a unique approach that merges reversible polynomial hashing with an Enhanced ECC (Elliptic Curve Cryptography) algorithm. The objective is to assess the efficacy of this hybrid cryptographic method in securing cloud-stored data. The research aims to explore how reversible polynomial hashing enhances security and how its integration with Enhanced ECC boosts data protection. This phase entails a thorough literature review to lay the groundwork, followed by designing and implementing the proposed algorithm. The methodology includes encryption, storage, and potential decryption procedures. Through a methodical evaluation of the algorithm's strength and performance, the study aims to offer valuable insights into leveraging innovative cryptographic techniques for improved cloud data security.