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Integrity Checking Techniques to Secure Data in Cloud
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Cloud computing enable users to use remote resources which reduce the burden on local storage. Exponential growth in the rate of data generation and frequent changes in the storage technologies, it is difficult for small scale businesses and individuals to change infrastructure regularly to meet the requirements. So that data can be stored on cloud storage by owners for cost effective solutions with respect to storage and maintenance. Data stored on cloud storage will be available for all the time and can be accessed from anywhere by authentic users. But, as this data is stored on remote stora...
Cloud computing enable users to use remote resources which reduce the burden on local storage. Exponential growth in the rate of data generation and frequent changes in the storage technologies, it is difficult for small scale businesses and individuals to change infrastructure regularly to meet the requirements. So that data can be stored on cloud storage by owners for cost effective solutions with respect to storage and maintenance. Data stored on cloud storage will be available for all the time and can be accessed from anywhere by authentic users. But, as this data is stored on remote storages, it is vulnerable for various attacks and which brings security challenges. Here in this work, it has been investigated that, there is a need to assure the customers with the data integrity along with confidentiality of the data in the cloud storage by implementing efficient protocols. As data may change frequently in many applications, there is need of dynamic data integrity checking also. We have given implementation and performance details of a protocol with various homomorphic encryption schemes. These algorithms are used to design various frameworks and its performances are evaluated which is giving better security and faster computations as compared to other mathematical models.