• Mr Manoj Patel

This research explores the integration of block chain technology with cloud security to enhance the security and integrity of cloud-based systems. The objective of this study is to assess the effectiveness of integrating block chain in addressing security threats and ensuring data integrity in cloud environments. The research begins with an examination of the key components of the integration, including decentralized identity and access management, immutable data storage, provenance, and the use of smart contracts for security policies. These components leverage the unique properties of block chain, such as decentralization, immutability, transparency, and smart contract capabilities, to strengthen access control, data integrity, and overall security measures in the cloud. A comprehensive evaluation of the security enhancements achieved through the integration is conducted. The research also identifies limitations and areas for future improvement. Scalability concerns, performance considerations, regulatory and compliance challenges, interoperability issues, user experience, security audits, and cost efficiency are acknowledged as areas requiring further attention and research. By integrating blockchain technology with cloud security, organizations can enhance their security measures, prevent unauthorized access and data tampering, and improve data integrity and trust. The results of this research contribute to a better understanding of the practical implications, benefits, and limitations of this integration. It is hoped that this research inspires further studies and advancements, enabling organizations to leverage the power of blockchain.

"Block chain Knowledge for Puff Security and Data Honesty", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.449-454, October-2018, Available :http://www.jetir.org/papers/JETIR1811d12.pdf

"Block chain Knowledge for Puff Security and Data Honesty", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp449-454, October-2018, Available at : http://www.jetir.org/papers/JETIR1811d12.pdf