In order to support emerging online activities within the digital information infrastructure, such as commerce, healthcare, entertainment and scientific collaboration, it is increasingly important to verify and protect the digital identity of the individuals involved. Identity management systems manage the digital identity life cycle of individuals that includes issuance, usage and revocation of digital identifiers. Identity management systems have improved the management of identity information and user convenience; however they do not provide specific solutions to address protection of identity from threats such as identity theft and privacy violation. One major shortcoming of current approaches is the lack of strong verification techniques for management and protection of digital identifiers. Moreover current identity management systems do not consider neither biometric nor history-based identifiers. Both biometric and history-based identifiers are increasingly becoming an integral part of an individual's identity. Such types of identity data also need to be used with other digital identifiers and protected against misuse. In this presentation I introduce a number of techniques that address the above problems. The approach is based on the concept of privacy preserving multi-factor identity verification. The main technique consists of verifying multiple identifier claims of an individual, without revealing extraneous identity information. A distinguishing feature of our approach is that we employ identity protection and verification techniques at all stages of the identity life cycle. In addition we develop techniques to use biometrics in a secure and privacy preserving manner. We also enhance our approach with the use of history-based identifiers.