The aim of the paper is to offer an architectural framework to help in securing data sharing processes in the multi-cloud storage. For example, the paper highlights the ways of achieving a secure data sharing through the application of the cryptographic index-based data slicing techniques. It seeks to prevent malicious insider through data encryption using 3DES in every part of the file and RSA for the encryption of private key. In addition this work also enhances the privacy of secure data sharing using dynamic file slicing in which customer can define the number of file parts to be sliced using the framework interface. This architecture solves the key management and key distribution problem. The proposed algorithm uses self-protection or counter attack mechanism in order to safe guard cloud infrastructure from malicious files. The cloud-storage of information is a security-intensive process because a multi-cloud process entails a collection of storage servers. The framework only searches for the file in the multi-cloud server when the receiver inputs the file name and the private key. Moreover, it is the only way of accessing the file. This study focused on multi-cloud storage. The life cycle of the data involves three stages that include data input, transition, and usage. The report is more about cloud storage and transition. The experimental and numerical results shows the efficiency of the various file formats and privacy gets increased through dynamic file slicing which in turn increases the trustworthy of the customers. The data security increase during cloud-storage due to cryptographic and encryption techniques. Cloud storage is important for the organization those who are doing online process. Therefore, it is benefit to them to access secure data storage and transfer processes.

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Abstract-Multiple Cloud storage has become one of the essential services of cloud computing. This Multi-Cloud storage models allow users to store sliced encrypted data in various cloud drives. Thus, it provides support for various cloud storage services using the single interface rather than using single cloud storage services. Cloud security goal primarily focuses on issues that relate to information privacy and security aspects of cloud computing. This latest data storage service and data moderation prototype focus on malicious insider's access on stored data, protection from malicious files, removal of centralized distribution of data storage and removal of outdated files or downloaded files frequently. Data owner does not necessarily need to worry about the future of the data stored in the MultiCloud server may be extracted or depraved. The other is ingress control of data. The proposed method ensures the file or data cannot get access without the knowledge or permission of the owner. Thus, this research aims at offering an architecture which reduces malicious insiders and file threats with an algorithm that improves data sharing security in Multi-Cloud storage services. This technique will offer a secure environment whereby the data owner can store and retrieve data from Multi-Cloud Environment without file merging conflicts and prevents insider attacks to obtain meaningful information. The experimental results indicate that the suggested model is suitable for decision making process for the data owners in the better adoption of multi-cloud storage service for sharing their information securely.

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