An Advanced Encryption Algorithm for Enhancing Data Security in Cloud Computing

Title:An Advanced Encryption Algorithm for Enhancing Data Security in Cloud Computing

Volume: 17

Author(s): R. Anandh, A. Swaminathan, Swati Dhondiram Jadhav, P. Valarmathi, N. Gopinath*Kanchan S. Tiwari

Affiliation:

• Computer Science and Engineering, B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, India

Abstract: Aim: Cloud computing (CC) is a revolutionary new archetype in which users pool their computing resources to provide greater efficiency for everyone. Data become increasingly vulnerable to diverse security threats from attackers when millions of users circulate the same network for data transmission. Protecting these reports has shifted to the vanguard of priorities. The existing data security approach prioritizes protecting data at rest in cloud storage but gives less thought to protecting data in transit. During transmission, the data are vulnerable to intrusion attempts.

Methodology: The third-party auditor is provided access to data during the transfer phase, which is also the current pattern. As the attacker can now pose as a trusted third party, it makes the data more susceptible to unauthorized access. However, growing concerns regarding data privacy and security have made outsourcing sensitive information to faraway data centers difficult. As a result, new security concerns in the cloud necessitate an improved version of the tried-and-true advanced encryption standard (AES) algorithm. Key aspects presented in this study include a secure and private framework for owner data. It improves upon the 128 AES technique by adding a second round of encryption using a different key, allowing for a throughput of 1000 blocks per second. However, the standard method uses a single round key and only 800 blocks per second. The suggested approach reduces energy consumption, improves load distribution, and optimizes network trust and resource management.

Results: The proposed architecture allows for the use of AES with cipher lengths of 16, 32, 64, and 128 bytes. The effectiveness of the algorithm in terms of attaining target quality metrics is illustrated graphically via simulation results. This strategy reduces power consumption by 13.23%, network utilization by 12.43%, and delay by 16.53%, according to the outcomes.

Conclusion: As a result, the recommended architecture enhances safety, cuts down on wasted resources, and speeds up the rollout of computational cloud services.

Cite this article as:

Anandh R., Swaminathan A., Jadhav Dhondiram Swati, Valarmathi P., Gopinath N.*, Tiwari S. Kanchan, An Advanced Encryption Algorithm for Enhancing Data Security in Cloud Computing, Recent Advances in Electrical & Electronic Engineering 2024; 17 () . https://dx.doi.org/10.2174/0123520965279410231221034431