Title :
Security system based on speech recognition in M-Commerce
Author_Institution :
Sch. of Inf. Sci. & Eng., Southeast Univ., Nanjing, China
Abstract :
Mobile E-Commerce, as a more convenient and express form of E-Commerce, is developing rapidly with the saturation of E-Commerce market coupled with the widespread of mobile devices. Meanwhile, speech recognition, as a fully-developed identification technology of biological character, receives more praise and abuse than any other scientific breakthroughs. Followed by a brief discussion of the safety of M-Commerce, a new secure transition model based on speech recognition in M-commerce is to be presented. This model is easy to be operated, meeting all the necessary needs for biological feature identification; it can tackle security issues faced by M-commerce, making M-commerce system more user-friendly. A detailed description of the components of the security model and the specific procedures of practical applications are elaborated. This paper aims to analyze the theoretical possibilities of the application of this model.
Keywords :
electronic commerce; human computer interaction; mobile computing; security of data; speech recognition; speech-based user interfaces; M-commerce; biological feature identification; mobile E-Commerce; secure transition model; security system; speech recognition; user-friendly system; Cryptography; Safety; M-Commerce; security model; speech recognition; user authentication;
Conference_Titel :
Emergency Management and Management Sciences (ICEMMS), 2010 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6064-9
DOI :
10.1109/ICEMMS.2010.5563379