SAML single sign-on protocol development using combination of speech and speaker recognition

Single sign on (SSO) is a centralized authentication system where user acquires access to many services using one credential. However, Single Sign On has one fatal weakness. If one credential has been acquired by an attacker, the attacker can acquire access to many services. SAML SSO protocol, that widely studied also suffers this vulnerability. This research provides economic solution for such problem by combining speech and speaker recognition and apply it to SAML SSO protocol.