ENHANCING CLOUD DATA SECURITY THROUGH AN ENCRYPTED AND EFFICIENT CONNECTION MODEL BASED ON BLOCKCHAIN TECHNOLOGY

作     者：SHARMA, SONALI SHARMA, SHILPI CHOUDHURY, TANUPRIYA 

作者机构：Amity University Uttar Pradesh India Department of computer Science and Engineering Amity University Uttar Pradesh India  Uttarakhand Dehradun India 

出 版 物：《Scalable Computing》 (Scalable Comput. Pract. Exp.)

年 卷 期：2025年第26卷第2期

页      面：517-530页

核心收录：

主　　题：Decentralized systems 

摘      要：Centralized file storage systems are widely used for sharing data and services, offering oversight capabilities to governing bodies. Despite their prevalence, these systems raise significant concerns about potential data misuse by authorities and control over internet information dissemination. The vulnerability of centralized systems has been highlighted by security breaches that exposed user data. To counteract these issues, researchers have proposed blockchain-based solutions for enhanced data protection. This research work highlights an innovative approach utilizing the services of Interplanetary File System (IPFS), a secure and encrypted connection framework accessible via web browsers that supports global data storage and distribution on a decentralized peer-to-peer network. This model ensures privacy, accuracy of information, and eliminates additional service fees or software requirements. However, even decentralized networks like IPFS have faced cyber threats compromising user data. In response to this challenge, the presented research outlines a model incorporating AES-256 encryption to protect files before uploading them onto IPFS nodes. Secure transmission is achieved through WebRTC technology which facilitates the exchange of encrypted file hashes and keys with recipients. The key takeaways from this study include an optimized method for file storage and distribution designed to thwart cyber-attacks targeting stored or shared files while also providing economic benefits by removing extra storage costs associated with large files in centralized systems. Overall, the research offers a robust solution aimed at safeguarding user privacy without sacrificing functionality or incurring high costs. © (2025), (West University of Timisoara). All rights reserved.