<p>Cloud computing provides many services to access them dynamically over the internet as per the user's demand. The data is growing in tremendous amount and it should be managed correctly where storage service proves efficient. The Data stored online can be hacked by the third party so to secure this data verifying integrity is essential. Because of the human error or natural disaster, the data may get deleted from the cloud servers. Therefore, there is a requirement of improving the existing algorithm to recover data efficiently. Many algorithms are proposed, but they lack in efficiency, computational cost, and reliability. The proposed system in this paper is having the feature of verifying data integrity using Identity Based Remote Data Integrity Checking and recovery using the XOR operation. When the data is unavailable to the user, the proposed system provides flexibility for the user to regain data from the remote server.</p>

Recently the technologies are growing fast, so they have become the point of source and also the sink for data. Data is generated in large volume introducing the concept of structured and unstructured data evolving "Big Data" which needs large memory for storage. There are two possible solutions either increase the local storage or use the Cloud Storage. Cloud makes data available to the user anytime, anywhere, anything. Cloud allows the user to store their data virtually without investing much. However, this data is on cloud raising a concern of data security and recovery. This attack is made by the untrusted or unauthorized user remotely. The attacker may modify, delete or replace the data. Therefore, different models are proposed for a data integrity check and proof of retrievability. This paper includes the literature review related to various techniques for data integrity, data recovery and proof of retrievability.