Implementing webIDs + biometrics

Abstract

In this paper, our main focus will be on the integration of WebIDs and biometrics. biometrics is the process of utilizing a user's physical characteristics to identify them. There are three types of authentication. Knowledge-based authentication, based on the user's knowledge, is where the user will use a pin number or a password to gain access. Token-based authentication uses some form of physical identification to verify the user. The final form of authentication is biometric-based authentication. Genetic and Evolutionary Feature Extraction (GEFE) is a feature extraction technique that can be used to evolve local binary pattern (LBP) based feature extractors that are disposable for users of biometric-based authentication systems. LBP compares intensity values of a pixel in a group of pixels to form a texture pattern. Each of these segmented regions has its own histogram that stores the frequency of these unique texture patterns that occur in a region. GEFE is an instance of a genetic and evolutionary computation (GEC). A WebID is a uniform resource identifier (URI) that represents some agent, such as a person, organization, group, or device. A URI is a sequence of characters that identifies a logical or physical resource. Many services that require any type of authentication rely on centralized systems. This means that users are forced to have a different account and identifier for each service they are using. For every service, a new registration needs to be created, which can be a burden on both the user and the service. A WebID will represent a user's WebID profile. A user's WebID profile contains a set of relations that describe the user. When the user's profile is de-referenced, it will resolve to their profile document with structured data in RDF. WebIDs provide a relatively simple and safe alternative to traditional username/password user verification. However, they can still be compromised if an attacker gains direct access to a user's computer, or if the user's unique certificate is stolen. Adding biometrics to the authentication process can help solve this issue since biometric data (e.g., fingerprints, iris scans) is unique and not easily duplicated. If a biometric element can be added to WebID profiles, then users could be verified through both their WebID and biometric authentication. We are implementing a method of user verification that is convenient, widely applicable via the Internet, and protected against intrusion. Traditionally, sites store user log-in information on their own servers.