DF-Streebog-Based Data Deduplication for Secured Data Transmission Through Load Balancing Via E-AVO

• Published in: Journal of information systems engineering & management Vol. 10; no. 37s; pp. 901 - 924
• Main Author: L. Karuppasamy
• Format: Journal Article
• Language: English
• Published: 17.04.2025
• ISSN: 2468-4376; 2468-4376
• DOI: 10.52783/jisem.v10i37s.6743

Introduction: Centralization of large amounts of data in Cloud Servers (CS) has been common with the advent of cloud computing, making efficient and secure data-sharing techniques necessary. Most data-sharing methods lack an integrity verification mechanism that leads to incorrect computation results for users; hence, sharing confidential data in the cloud still experiences some challenges despite the use of different data-sharing methodologies. But methodologies presently available are normally not verified, resulting in likely errors in computations and compromising secret data transmission. Objectives: To employ digit Folding-based Streebog(DF-Streebog) encryption and Demystifying Interpolation-based Elliptic Curve Cryptography (DI-ECC) for the preservation of data integrity and secrecy to develop a secure and efficient cloud data-sharing model and also to perform network traffic optimization and load balancing using advanced metaheuristic algorithms such as SD_SBO and E-AVO. Methods: Data deduplication model is developed based on DF-Streebog encryption and DI-ECC for securing data. Furthermore, load balancing becomes feasible by Entropy-based African Vulture Optimization (E-AVO) in order to optimize network traffic. Our model begins with user registration, generation of keys, and encryption by DI-ECC and Mean-Rotors (M-Rotors). Then, attribute extraction and data slicing are performed, and load balancing is accomplished with the help of E-AVO. The file's location is discovered using the Standard Deviation-based Satin Bowerbird Optimization (SD_SBO) Algorithm. DF-Streebog is used for deduplication, and DI-ECC offers secure storage within the Cloud Service Providers (CSPs).  Results: Evaluation results demonstrate an enormous enhancement in the system's performance with a security of 98.2369%. This paper helps in driving data security in cloud computing with confidentiality and integrity for data in sharing.. Conclusions: Cloud providers can minimize their environmental impact and maximize sustainability by controlling energy use.Also, increasing security level for encrypted data and cloud customers is one of the main subjects that need to be studied thoroughly.  User belief and trust of cloud computing can be increased by enhanced access control and encryption methods.  Ultimately, all these future endeavors will continue to push the envelope of secure cloud computing and addressing new problems and fostering ongoing innovation.