Integrity Checking Techniques to Secure Data in Cloud

Cloud computing lets people draw on remote computing resources, which eases the strain on their own storage devices. Rapid growth in data and frequent shifts in storage technology make it hard for small businesses and individual users to keep upgrading their infrastructure. Many turn to the cloud instead, where owners can store data affordably and with less upkeep. Because cloud data can be reached at any time and from any location by authorized users, it is convenient, but it also sits on remote servers that are open to many kinds of attack.

This work examines how to give customers assurance that their cloud data keeps both its integrity and its confidentiality, using efficient protocols to achieve this. Since data in many applications changes often, the author also addresses dynamic integrity checking. The book presents the implementation and performance results of a protocol that uses several homomorphic encryption schemes, along with frameworks built on these algorithms.

The evaluation of these frameworks reports stronger security and faster computation than other mathematical models.