Secure Multi-Cloud Storage Systems Techniques for Data Integrity and Availability

¹ National Institute of Technology (NIT), Silchar, Department of CSE, Navanath Niwas, 20, Vidarbha Housing Colony, Maltekdi Road, Amravati, Maharashtra, India
² Associate Professor, Department of Computer Science and Engineering, Veltech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Chennai, Tamil Nadu, India
³ Assistant Professor, Department of Computer Science and Engineering, CVR College of Engineering, Mangalpalli, Ibrahimpatnam, Rangareddy, Telangana, India
⁴ Department of Computer Science and Engineering, MLR Institute of Technology, Hyderabad, Telengana, India
⁵ Assistant Professor, Department of Computer Science and Engineering, Bharati Vidyapeeth’s College of Engineering, A-4, Rohtak Road, Paschim Vihar, Delhi, India
⁶ Professor, Department of CSE, New Prince Shri Bhavani College of Engineering and Technology, Chennai, Tamil Nadu, India

hwatane@gmail.com
d.sundaranarayana@gmail.com
m.sunitha30@gmail.com
balakrishnareddy@mlrit.ac.in
mohit.t.bvcoe@gmail.com
hodcse@newprinceshribhavani.com

Abstract

Cloud computing is constantly changing, and the provision of efficient and safe data management has led to a prominent challenge in the virtualization age - security for multi-cloud storage systems. This study provides a holistic way to solve the problems of data security and accessibility in multiple cloud environments. The paper identifies scalable and cost-saving solutions, which promise to make sure data are secure from attacks while also being readable across cloud service providers, reducing the problems of vendor lock-in, latency, and expense. As a solution to mitigating the risk of data loss, data tampering, and data availability challenges, this research proposes an innovative framework that lays out protocols for data integrity verification, unauthorized access prevention, and assurance for continuous data availability, built on the foundation of blockchain technology, real-time monitoring systems, and multi-degree redundancy. In addition, the paper presents cost-effective methods such as deduplication, automated failover mechanisms, hybrid cloud storage architecture allow us to build cheaper, lucid and more efficient systems compared to previous systems. The paper provides novel approaches that contribute towards improving the performance, security and reliability of multi-cloud storage systems, thus helping to overcome the major barriers of cloud computing, the third wave of computing on a data intensity basis, with potential implications for data management in future cloud environments.