Enhancing Data Security With Adaptive ECC-Based Encryption: A Resource-Aware Approach
Makaleler > Tam Makale · 2025
Yazarlar: Fursan Thabit, Özgü CAN, Chrysostomos Chrysostomou
Security and Privacy, ESCI İndekslerine Giren Dergi, Uluslararası, Wos, 2025, cilt 8, ss 1-13
DOI: 10.1002/spy2.70029
Özet
<p>Financial agencies need to safeguard confidential information and mitigate the risks associated with data leakage. Data hosted on cloud servers must be protected by robust security measures. To achieve this objective, we have developed the Cloud Security and Encryption Algorithm with Configurable Dynamic Key Size (CSEDS), a comprehensive framework consisting of three integral components. In the first step, a configurable context signature manager analyzes and assesses user data sensitivity. Second, the cloud server’s load and performance are evaluated by an investigator. Finally, a resilient cloud data cryptosystem is implemented to securely encrypt user data. We use elliptical curve (EC) method for encryption, ensuring security, and confidentiality for cloud-hosted user data. Several factors were considered when evaluating the framework’s effectiveness, including throughput, encryption time, and decryption time. Compared to existing systems, the CSEDS system outperforms the Hybrid Paillier-Blowfish Algorithm (HPBA), Hybrid Cloud Cryptosystems (HCA), and genetic algorithms utilizing logical-mathematical functions (GTLMF). The ECC Algorithm in our framework makes use of adaptive key sizes, based on cloud resources and sensitive user data. The proposed framework enhances security significantly, as demonstrated by our research and simulations. In comparison to GTLMF, CGA, HCA, and HPBA, our framework improves security levels by 5%, 2%, 3%, and 1%, respectively.</p>