A Novel User Layer Cloud Security Model based on Chaotic Arnold Transformation using Fingerprint Biometric Traits

Abstract

Cloud computing models have emerged to be a key player in the field of information processing in the recent decade. Almost all the services related to data processing and storage from firms work on a cloud platform providing the requested services to the consumers at any point of time and location. Security is an essential concern in cloud models as they primarily deal with data. Since multitude of user’s access cloud by way of storing confidential information in the virtual storage platform or accessing vital data from archives, security and privacy is of prime concern. This has been taken as the motivation of this research work. An effective Chaotic based Biometric authentication scheme for user interaction layer of cloud is proposed and implemented in this research paper. The proposed method uses fingerprint as the biometric trait and varies from conventional methods by utilizing a N-stage Arnold Transform to securely verify the claim of the so-called legitimate user. The experimentations have been compared with existing benchmark methods and superior performances observed in terms of detections, false detection accuracy etc.