文章基本信息

标题：A NOVEL HYBRID AUTHENTICATION METHOD BASED ON ORIENTATION MAPS AND SERVER AIDED SIGNATURE FOR M COMMERCE SECURED TRANSACTIONS
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作者：R.ARUN PRAKASH ; K.M.MEHATA ; C.CHELLAPPAN 等
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2014
卷号：64
期号：1
出版社：Journal of Theoretical and Applied
摘要：Mobile commerce (m-commerce) refers to the ability to perform wireless commerce transactions using mobile applications in mobile devices. It is an innovative concept and is emerging in a context of an established norms, regulations and standards. This paper presents a study of adoption determinants for mobile commerce, focusing on end-users of a mobile commerce pre-paid service. The main objective of the study is twofold; to determine an algorithm that improves security and decreases the time delay for processing of an adoption model by applying it to the results of the study. In order to investigate the field of mobile commerce service adoption, information related to its� end-users was gathered. The framework was applied to the results of the study in order to validate its concepts. We proposed a model based biometric identification with SAS algorithm to obtain digital signature over the conventional method of merely algorithms to acquire signature. Biometric Identification Systems are widely used for unique identification of humans mainly for verification and identification. Biometrics is used as a form of identity access management and access control. Fingerprints are considered to be the best and fastest method for biometric identification. Hence we have adopted the finger print recognition for improving security. They are secure to use, unique for every person and do not change in one's lifetime. The findings of the case study indicate strong support for triangulating the three perspectives namely secured access, lesser processing delay and better signature generation method. The results of the same have been analysed and presented in this paper.
关键词：M Commerce; Biometric Authentication; RSA Signature; SAS Signature; Feature Extraction