Sensitive Data Identification and Protection in a Structured and Unstructured Data in Cloud Based Storage

Abstract

Nowadays user information is large in size and is stored in a cloud storage location in different forms like structured and unstructured. In these storage representations maximal sizeof the information is common to all users and some of the information is differ from one user to other. The common information does not require security and differed information required security. The conventional entire data encryption technique leads to higher computational complexity and reduce data usability to authorized users. To reduce computational complexity and increase data usability, the selected data encryption technique is proposed in this work. If the sensitive information is present in the form of structured data, the security required attribute is partitioned from other attributes and encrypted instead of entire data. Similarly, if the data present in an unstructured form, the information extraction technique is used to extract the security required sensitive information. Afterwards the extracted attributes are encrypted by Attribute Based Encryption (ABE) technique. When compare to conventional encryption techniques, the proposed selected sensitive attribute technique provides better security to sensitive attributes with lesser computational time and complexity. Similarly the data usability to non-encrypted non-sensitive attributes is increased.