GMAIL VERIFICATION SYSTEM USING ENCRYPTION PATTERN SECURITY

Abstract

Pattern classification systems are commonly used in adversarial applications, like biometric authentication, network intrusion detection, and spam filtering, in which data can be purposely manipulated by humans to undermine their operation. As this adversarial scenario is not taken into account by classical design methods, pattern classification systems may exhibit vulnerabilities, whose exploitation may severely affect their performance, and consequently limit their practical utility. Extending pattern classification theory and design methods to adversarial settings is thus a novel and very relevant research direction, which has not yet been pursued in a systematic way. Current Gmail authentication systems do not provide enough monitoring and management for the client. In order to enhance the security and credibility, this paper we are going to propose the concept of authentication trustworthiness, gives novel description on authentication models together with its implementation details. The results of simulations demonstrate that this combination of technology and management design can satisfy the credibility and security requirement of internet banking business