Privacy-Preserving Policy for Big Data Entry Restriction Scheme

In contemporary world of computers, most of the objects like computers, smart phones are connected to network through internet connection generates vast amount of information. Due to huge information corpus, it is a very challenging task to store the data in structured formats, especially when it is stored in cloud storage space. In Cloud infrastructure, preserving the privacy of the user data is one of major challenges. In order to achieve this, we have developed a technique for encryption known as Attribute-Based Encryption using Cipher text-policy (ABE-CP). This technique gives users the ability to encipher their own data using feature attribute policy values which is defined over some access policies. If the access policies of the data owners are matched with attribute values of data consumers, then such users are allowed to decipher the data. In ABE-CP, we have encrypted data in plain text formats and has access policies attached to the same, which may contain end-user’s personal information. The existing methodologies only partially conceal the personal information of end users while the attribute values which contains personal information are still exposed. In this paper, we introduce a system which ensures privacy of the data consumers and data owners while maintaining the standards. And we have also introduced a bloom-filter which is used for decryption of data using attributes. These bloom-filters are used to estimate whether the end-users access policies are defined for each attribute. It can also be used to find the attributes location if it is available in the access-policy. It has been estimated by many execution performance evaluators and security analyst that our proposed technique can enable linear secret-sharing strategic access policies and prevent private information of end users without engaging much overhead. In our proposed project we have provided two login credentials, one as data consumer and the other as data owner. The owner of the data uploads a file and generates a badge number for each and every file once the encryption is done in cloud. This process will protect the file name attribute values from leaking. Since the file name contains some critical information regarding the attribute values. These information’s which will be used to decrypt the files by the intruders. Therefore, by providing badge number for each file we will protect privacy of the data owners.