Blockchain & Multi-Agent System: A New Promising Approach for Cloud Data Integrity Auditing with Deduplication

Recently, data storage represents one of the most important services in Cloud Computing. The cloud provider should ensure two major requirements which are data integrity and storage efficiency. Blockchain data structure and the efficient data deduplication represent possible solutions to address these exigencies. Several approaches have been proposed, some of them implement deduplication in Cloud server side, which involves a lot of computation to eliminate the redundant data and it becomes more and more complex. Therefore, this paper proposed an efficient, reliable and secure approach, in which the authors propose a Multi-Agent System in order to manipulate deduplication technique that permits to reduce data volumes thereby reduce storage overhead. On the other side, the loss of physical control over data introduces security challenges such as data loss, data tampering and data modification. To solve similar problems, the authors also propose Blockchain as a database for storing metadata of client files. This database serves as logging database that ensures data integrity auditing function

An Accountability Scheme for Oblivious RAMs

In outsourced data services, revealing users’ data access pattern may lead to the exposure of a wide range of sensitive information even if data is encrypted. Oblivious RAM has been a well-studied provable solution to access pattern preservation. However, it is not resilient to attacks towards data integrity from the users or the server. In this paper, we study the problem of protecting access pattern privacy and data integrity together in outsourced data services, and propose a scheme that introduces accountability support into a hash-based ORAM design. The proposed scheme can detect misconduct committed by malicious users or server, and identify the attacker, while not interfering with the access pattern preservation mechanisms inherent from the underlying ORAM. This is accomplished at the cost of slightly increased computational, storage, and communication overheads compared with the original ORAM