[This article belongs to Volume - 56, Issue - 01, 2024]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-19-05-2024-47

Title : OCTAGON-CRYPTODATAMR: ENHANCED DATA PROTECTION USING OCTAGON BASED CRYPTOGRAPHIC HASH WITH ENCRYPTION AND DECRYPTION THROUGH MAP REDUCE PROGRAMMING MODEL
G. Siva Brindha, Dr. Gobi

Abstract :

Since cloud computing uses distributed and parallel computing to supply its users with several services, including physical resources and platforms, it has emerged as the most important technology of the modern period. Users of technology have stored and retrieved vast amounts of data as a result of their use of it. Therefore, handling massive amounts of data has become increasingly necessary to properly serve their business's and other private consumers' needs. Map Diminish is the most widely used tool for processing this kind of huge data. Still, the hardest part of the job is making sure users' confidential data is secure. Even with the use of many security measures, including authentication, guaranteeing total protection for confidential information is nearly essential because security policies could be compromised. Data protection from leaks and other security breaches is therefore urgently needed. In order to improve data safety, this study proposes the Octagon-CryptoDataMR paradigm, which uses the Map Diminish programming style and cryptographic hash and encryption/decryption methods. To protect data privacy, the suggested model employs a position-based swing hill cipher at the diminish stratum and a sequence rolling twofold hash technique at the map stratum. This architecture professionally secures the data using straightforward cryptographic techniques that provide complex outcomes. To confirm the efficiency of the recommended representation in improving data security, an experimental investigation has been conducted. The findings demonstrate that the suggested model guarantees data privacy while offering improved speed with the least amount of execution time.