به سمت بیومتریک امن، قابل اعتماد، و افزایش حریم خصوصی در ابر
Toward secure, trusted, and privacy-enhanced biometrics in the cloud
Abstract: Biometric technology has been used for decades as a strong method to identify and authenticate individuals. As for its effectiveness and accuracy, biometric technology has gained popularity in a wide range of fields and applications, including government, health care, security, and forensics. However, the use of biometrics has been primarily used in local applications and has not been widely deployed for remote applications due to many challenges in terms of privacy, security, and trust.
The primary goal of this research is to explore how biometrics can be deployed in the cloud and how the strong authentication property of biometrics can be leveraged to improve the security of the cloud, taking into account the challenges faced when using biometrics for remote applications. These challenges include the security of biometric templates, the privacy of users, and the trust for remote biometric operations. The contributions of the dissertation start with an empirical motivational study of the usability and security of passwords as the most commonly used authentication method in the cloud as compared with the privacy-enhanced fingerprint authentication. The dissertation continues by addressing the privacy and trust problems of exchanging biometric data by enhancing the Biocryptographic Key Infrastructure (BKI) to be used as a building block for following proposed methods. The dissertation continues by proposing the trusted and privacy-enhanced biometric web identities, or Trusted-BWI. Trusted-BWI illustrates how biometric systems can be deployed in the cloud in a secure, trusted, and privacy-enhanced manner. Then, as cloud services rely heavily on the Secure Socket Layer (SSL) for network security, we propose the Biocryptographic Secure Socket Layer (BSSL), which leverages the strong authentication property of biometrics to enhance the security and usability of the client-side authentication of SSL. This dissertation is concluded by proposing a secure cloud storage using biometrics, called BioCloud, for enhancing the security and usability of cloud storage systems relying on biocryptographic techniques
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پایان نامه لاتین دکترا2015: Toward secure, trusted, and privacy-enhanced biometrics in the cloud