R&D: Efficient Method for Data Integrity in Cloud Storage Using Metadata

Springer Nature Switzerland AG has published, in COMET 2019: Emerging Trends in Computing and Expert Technology proceedings, an article written by R. Ajith Krishna, and Kavialagan Arjunan, Department of Electronics and Communication Engineering, College of Engineering, Anna University, Chenna, India.

Abstract: “Cloud computing is the fast, reliable and effective fix for the rising storage expenditure of IT companies. The data storage devices available is not cost effective because the data being generated at a faster pace makes it costlier for the IT companies and individual users to repeatedly update their hardware. Cloud computing not only reduces the storage costs but also reduces the protection procedures. Cloud storage shift the user’s data to remotely located large data centers where the user does not have any control. However, as the case of many advanced technologies, this unique feature of the Cloud may create many new security challenges which are to clearly understood and resolved. The user should be guaranteed of the correctness of data in the Cloud. Since the data cannot be accessed physically by the user, it has to provide a tangible solution for the user to ensure that the data integrity is retained or not. In this, a system is developed which provides a substantiation of data integrity in the Cloud so that the user can utilize it in order to ensure the correctness of the user data in the Cloud. This proof of data integrity is mutually agreed in cooperation with the Cloud and the client and can also be included in the Service Level Agreement (SLA). This system gives an assurance that the data storage can be minimized at the client side which will be of immense benefit to smaller clients.“