Enhancing Cloud Data Security using a Hybrid Cryptographic Model: A Combination of Advanced Encryption Standard and Elliptic Curve Cryptography

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Saman Khan, S. H. Abbas

Abstract

With cloud computing, users may easily access and store confidential data remotely over the internet at any time and from any location at a reasonable cost. But there is security risks associated with this convenience. Due to its third-party accessibility, data on the cloud is vulnerable to authentication and data integrity attacks. Furthermore, there is a higher chance of data exposure, leakage, and loss in different locations when several users access data simultaneously across different internet connections. Elliptic Curve Cryptography is one of the cryptographic techniques and protocols that have been developed to solve these concerns. To maintain security and integrity in cloud environments, this paper presents a hybrid cryptographic system to improve data security in cloud environments by combining the Advanced Encryption Standard (AES) with Elliptic Curve Cryptography (ECC). The proposed model makes use of ECC to generate secure keys, which reduces key size while preserving strong security. This enhances the overall performance and efficiency of the encryption and decryption processes. By combining the advantages of ECC and AES, the framework ensures that data stored in the cloud remains secure, confidential, and only accessible to authorized users. In terms of data integrity and authentication, the study's findings demonstrate that the suggested hybrid approach performs better than traditional cryptographic methods. The experimental results show that, in comparison to existing methods, the proposed strategy is more efficient and produces better outcomes.

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