An Intelligent Multi-Layer Algorithm for the Detection and Prevention of Security Issues in P2P Cloud Network

Cloud security has an emerging trivial role to protect data hooked up with the applications in the domain of Cloud computing technology. The growing usage of cloud services has increased many folds dramatically in a few years. Cloud Architecture offers various services and models based on user requirements but the security of critical data is still a challenge for the cloud service provider. However, peer-to-peer networks provide an alternative to the conventional client-server computer model since they are decentralized, self-organized, and dynamic in their purest form. People can connect to a server using the client-server architecture, however despite servers' scalability, their capabilities are limited. P2P networks can scale to virtually infinite sizes. However, P2P network security issues (such as data leakage or disclosure, data corruption or loss, and user privacy breach) need to be thoroughly examined because there is no centralized authority and there are many attacks as a result. However, P2P can share the sensitive information that needs to be protected from manipulation, unlawful use, and unauthorized access. This makes data security one of the major concerns for P2P architectures. The paper proposed a security algorithm for a P2P cloud network with improved security. Moreover, we have designed a model for secure Authentication and tested it against various attacks using an Identity-Based model (ID), Authorization using a trust-based, and data storage using Fuzzy Cryptosystems. This framework allows only the P2P cloud client to share or access the data for ensuring data security and privacy. Thus, a P2P cloud system is to be developed with robust security and data reliability to provide high-quality service. Further, the paper discusses security and privacy issues in cloud computing mainly focusing on P2P cloud networks where security is still immature and challenging.