A Novel Hybrid (Po-Thk) Method For Ids and Privacy-Preserving In Distributed Data Environment Using Metaheuristic Techniques

Due to its unique benefits such as distributing IT infrastructure, limitless expansion, versatility, and a significant degree of automating, the Cloud-Computing (CC) was evolving as upcoming Digital-Technologies. Together with the fast development, the CC innovation often raises questions about the privacy and security of data and applications stored in the online context. The Privacy-Preservation (PP) is perhaps the action of safeguarding an individual's private information, including confidential information, before publication. As a result, in the CC context, an innovative strategy for information along with PP is needed. Data-publication utilizing PP demands the management of distribution when leveraging a person's sensitive details. Throughout this research, we develop and implement an "Intrusion Detection System" (IDS) for data access using a hybrid strategy. Data-Gathering and Data-Publishing are two stages of system implementation. The data is being collected from the owner first by cloud server in the initial phase, however, during the latter phase, the server transmits the gathered data to the general or data-miners, referred to as data-consumers. Thus this work aims to build up a method for PP in the CC environment utilizing the Pigeon-Optimization (PO) method for locating the secure storage space by feature selection and Tiger-Hash-key (THK) generation method for converting the original data into PP data, thus by combining Pigeon with Tiger (PO-THK) hybrid method was proposed to improve the security in a cloud environment. The proposed PO-THK method performs a better outcome in UAR, IDR, and Space complexity while comparing it with the existing method AUA-MHT.