• surbhi joshi
• gurveen vaseer

Cloud computing has emerged as a versatile solution for delivering commercial and personal services over the internet with minimal interaction, enhancing traditional web interactions and reducing latency for information access. However, this convenience also introduces significant security vulnerabilities, particularly concerning the confidentiality and integrity of consumer data in cloud storage. This research focuses on addressing these vulnerabilities by employing Attribute-Based Encryption (ABE), a powerful method for enhancing data confidentiality between consumers and cloud service providers. We propose a Data-Centric Multi-Authority Attribute- Based Encryption (DC-MAABE) approach to safeguard cloud data from unauthorized access. Our approach integrates an access control mechanism with a Multiple Authority scheme, eliminating the need for a central authority and instead utilizing a few semi-trusted authorities. This design empowers data owners with full control over their outsourced data, while simultaneously reducing system complexity and reliance on any single authority. Experimental results indicate that the DC-MAABE framework performs comparably during the encryption phase and demonstrates greater time efficiency during the decryption phase compared to traditional approaches. These findings underscore the originality and effectiveness of our proposed design, offering a secure, scalable, and efficient solution for protecting data in cloud environments.

"FRAMEWORK FOR DATA CENTRIC MULTI AUTHORITY ATTRIBUTE BASED ENCRYPTION IN SECURE CLOUD DATA ENVIRONMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.b145-b154, November-2024, Available :http://www.jetir.org/papers/JETIR2411117.pdf

"FRAMEWORK FOR DATA CENTRIC MULTI AUTHORITY ATTRIBUTE BASED ENCRYPTION IN SECURE CLOUD DATA ENVIRONMENT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. ppb145-b154, November-2024, Available at : http://www.jetir.org/papers/JETIR2411117.pdf