Efficient Attribute-Based Comparable Data Access Control PROJECT TITLE :Efficient Attribute-Based Comparable Data Access ControlABSTRACT:With the proliferation of mobile devices in recent years, there is a growing concern concerning secure knowledge storage, secure computation, and fine-grained access control in information sharing for these resource-constrained devices during a Cloud Computing setting. During this work, we have a tendency to propose a new economical framework named Constant-size Ciphertext Policy Comparative Attribute-Based Encryption (CCP-CABE) with the support of negative attributes and wildcards. It embeds the comparable attribute ranges of all the attributes into the user’s key, and incorporates the attribute constraints of all the attributes into one piece of ciphertext throughout the encryption method to enforce flexible access control policies with various vary relationships. Accordingly, CCP-CABE achieves the efficiency as a result of it generates constant-size keys and ciphertext regardless of the amount of involved attributes, and it conjointly keeps the computation value constant on light-weight mobile devices. We tend to more discuss how to extend CCP-CABE to fit a state of affairs with multiple attribute domains, such that the decryption proceeds from the least privileged attribute domain to the most privileged one to help protect the privacy of the access policy. We tend to offer security analysis and performance analysis to demonstrate their potency at the tip. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Learning in Nonstationary Environments: A Survey Vision-Based Tracking Control of Underactuated Water Surface Robots Without Direct Position Measurement