Visible to the public A Robust and Secured Cloud Based Distributed Biometric System Using Symmetric Key Cryptography and Microsoft Cognitive API

TitleA Robust and Secured Cloud Based Distributed Biometric System Using Symmetric Key Cryptography and Microsoft Cognitive API
Publication TypeConference Paper
Year of Publication2017
AuthorsHalvi, A. K. B., Soma, S.
Conference Name2017 International Conference on Computing Methodologies and Communication (ICCMC)
KeywordsAES cryptography technique, APIs, application program interfaces, authentication, authorisation, biometric authentication system, biometric image, biometric system, biometrics (access control), cloud computing, Cloud Security, cloud service provider, cloud services, compositionality, distributed system, Encryption, enterprise application base, Face, face biometric, face images, face recognition, Microsoft cognitive face API, Microsoft cognitive face-API, Microsoft Windows (operating systems), multiple biometric information, pubcrawl, public key cryptography, registered user information, resilience, Resiliency, security aspects, Symmetric Key Cryptography
Abstract

Biometric authentication has been extremely popular in large scale industries. The face biometric has been used widely in various applications. Handling large numbers of face images is a challenging task in authentication of biometric system. It requires large amount of secure storage, where the registered user information can be stored. Maintaining centralized data centers to store the information requires high investment and maintenance cost, therefore there is a need for deployment of cloud services. However as there is no guaranty of the security in the cloud, user needs to implement an additional or extra layer of security before storing facial data of all registered users. In this work a unique cloud based biometric authentication system is developed using Microsoft cognitive face API. Because most of the cloud based biometric techniques are scalable it is paramount to implement a security technique which can handle the scalability. Any users can use this system for single enterprise application base over the entire enterprise application. In this work the identification number which is text information associated with each biometric image is protected by AES algorithm. The proposed technique also works under distributed system in order to have wider accessibility. The system is also being extended to validate the registered user with an image of aadhar card. An accuracy of 96% is achieved with 100 registered users face images and aadhar card images. Earlier research carried out for the development of biometric system either suffers from development of distributed system are security aspects to handle multiple biometric information such as facial image and aadhar card image.

URLhttp://ieeexplore.ieee.org/document/8282681/
DOI10.1109/ICCMC.2017.8282681
Citation Keyhalvi_robust_2017