Enhancing Cloud Data Security with Davies-Meyer Hash and Gestalt Pattern Matching in Blockchain
Sheeja Rani S, Raafat Aburukba, Khaled El‐Fakih · 2024
Cloud computing enables access to compute, storage, and software over the internet. Security is a critical aspect that enables individuals to exchange information while maintaining their sensitive data's confidentiality, integrity, and availability. Therefore, robust security methods are essential to protect data from unauthorized access. Blockchain-based security methods are decentralized technologies that facilitate secure transactions across multiple entities. Traditional data sharing schemes have encountered several issues, including a lack of security, low confidentiality, and compromised integrity. To address the aforementioned challenge, a novel Davies-Meyer Kupyna Hash based Gestalt Pattern Matched Consortium Blockchain (DKH-GPMCB), is introduced to facilitate secure data transactions between cloud users and servers, enhancing data confidentiality and integrity. Experimental results show that the DKH-GPMCB technique improves data confidentiality and integrity rates by 4 % and 7%, reduces computation time by 8% and 13%, and reduces storage overhead by 14% and 23% compared to conventional methods.