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Articles by Andrews Samraj
Total Records ( 3 ) for Andrews Samraj
  Md. Rajibul Islam , Md. Shohel Sayeed and Andrews Samraj
  This study is a protection analysis of foremost privacy enhanced technologies for biometrics including watermark embedding technique and fixed digit encryption. A biometric authentication system is vulnerable to a mixture of attacks. These attacks are anticipated to either evade the security afforded by the system or to discourage the usual functioning of the system. Here, we briefly review some of the known attacks that can be encountered by a biometric system and some corresponding protection techniques. We explicitly focus on threats designed to extract information about the original biometric data of an individual from the stored data as well as the entire authentication system. We offer a biometric authentication scheme which uses two separate biometric features combined by watermark embedding with fixed digit encryption to obtain a non-unique identifier of the individual, in order to address security and privacy concerns. Moreover, we provide experimental results presenting the performance of the authentication system. In the client-server environment the transformed features and templates travel through insecure communication line like the internet or intranet. Our proposed technique causes security against eavesdropping and replay attacks on the internet or intranet, because the transmitted feature information and the templates are different every time.
  Md. Rajibul Islam , Md. Shohel Sayeed and Andrews Samraj
  Nowadays, biometric technologies are turning into the basis of a widespread array of vastly secure recognition and authentication solution for an individual. Biometric recognition is the automated detection of a human being that is based on behavioral or physiological characteristics. The need for highly secure detection and personal verification technologies is becoming apparent, as the level of security breaches and transaction fraud increases. The core intention of this paper is to review the widespread research that has been done on the image enhancement, feature extraction as well as template protection of the fingerprint authentication system over the previous few decades. Especially, it discusses the techniques of enhancement, extraction and protection that have been implemented in order to solve the problem. To conclude, it illustrates experimental outcomes from the modern fingerprint authentication schemes that have been experienced with the FVC2004 Database.
  Jayakumar Vaithiyashankar , Shohel Sayeed , Anang Hudaya Bin Muhamad Amin and Andrews Samraj
  In this study, we proposed a multi-modal biometric framework for the human identification based on the cloud computing platform. The proposed framework focuses on personal identification and the accuracy of the identification process. Additionally, it involves in discussing the advantages of multi-modal biometrics over the single modal methods. Also, the study elaborates about the improved method of combining the multi-modal biometrics with the parallel search method. This suggested design ensures the reliability and accuracy in the fast manner such that the validity of the system is confirmed.
 
 
 
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