<p>The big data storage in the cloud is utilized in a range of applications, but security is the primary barrier to this storage. Present encryption approaches could be vulnerable to brute-force assaults. The aim is to develop a hybrid encryption scheme that would raise the security of cloud file storage by limiting access to data stored on the cloud to authorized users. This research introduces a novel hybrid encryption model that enhances data security and speed. Then, the efficient session keys are generated using Elliptic Curve Cryptography (ECC) to improve security with smaller key sizes. The strong SHA-512 hashing approach is applied to secure and enlarge the key, guaranteeing its reliability and variance to learn more encryption. The precise encryption of bulk data is done using the RC6 block cipher for higher speed and performance. The combination offers quick, dependable data secrecy together with strong cryptographic is extremely safe and effective for key creation and exchange. This framework aims to upgrade the operational rapidity and safety level of predictable cryptography systems. The results are analyzed using Python, and the proposed model performs better than other existing approaches. As a result, the proposed model achieves the memory usage (12.48&#xa0;s), latency (0.0089&#xa0;s), encryption time (15.56&#xa0;s), decryption time (13.45&#xa0;s) and throughput (2000.58&#xa0;KB/s). The proposed method improves security and data safety in cloud related environments through guarding against potential assaults and illegal access.</p>

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Design and assessment of an innovative hybrid encryption model for safe cloud storage: an emphasis on performance

  • Bhagyashree Sunil Patil,
  • Pooja Sapra

摘要

The big data storage in the cloud is utilized in a range of applications, but security is the primary barrier to this storage. Present encryption approaches could be vulnerable to brute-force assaults. The aim is to develop a hybrid encryption scheme that would raise the security of cloud file storage by limiting access to data stored on the cloud to authorized users. This research introduces a novel hybrid encryption model that enhances data security and speed. Then, the efficient session keys are generated using Elliptic Curve Cryptography (ECC) to improve security with smaller key sizes. The strong SHA-512 hashing approach is applied to secure and enlarge the key, guaranteeing its reliability and variance to learn more encryption. The precise encryption of bulk data is done using the RC6 block cipher for higher speed and performance. The combination offers quick, dependable data secrecy together with strong cryptographic is extremely safe and effective for key creation and exchange. This framework aims to upgrade the operational rapidity and safety level of predictable cryptography systems. The results are analyzed using Python, and the proposed model performs better than other existing approaches. As a result, the proposed model achieves the memory usage (12.48 s), latency (0.0089 s), encryption time (15.56 s), decryption time (13.45 s) and throughput (2000.58 KB/s). The proposed method improves security and data safety in cloud related environments through guarding against potential assaults and illegal access.