@article{alanzi_alkhatib_2022, 
  title={Towards Improving Privacy and Security of Identity Management Systems Using Blockchain Technology: A Systematic Review}, 
  volume={12}, 
  DOI={10.3390/app122312415}, 
  abstractNote={<jats:p>An identity management system (IDMS) manages and organizes identities and credentials information exchanged between users, identity providers (IDPs), and service providers (SPs) to ensure confidentiality and enhance privacy of users' personal data. Traditional or centralized IDMS rely on a third party to store a user's personal information, authenticate the user, and organize the entire process. This clearly constitutes threats to the privacy of the user, in addition to other issues, such as single point of failure (SPOF), user tracking, and data availability issues. Blockchain technology has many useful features that can contribute to solving traditional IDMS issues, such as decentralization, immutability, and anonymity. Blockchain represents an attractive solution for many issues related to traditional IDMS, including privacy, third-party control, data leakage, and SPOF, supported by Distributed Ledger Technology (DLT) security features and powerful smart contracts technology. The current study presents a systematic literature review and analysis for recently proposed solutions that adopt the traditional centralized approach, as well as solutions based on blockchain technology. The study also aims to provide a deep understanding of proposed IDMS solutions and best practices, and highlight the research gaps and open issues related to IDMSs and users' privacy. In particular, the current research focuses on analyzing the blockchain-based solutions and illustrating their strengths and weaknesses, as well as highlighting the promising blockchain technology framework that can be utilized to enhance privacy and solve security issues in a centralized IDMS. Such a study is an important step towards developing efficient solutions that address the pressing needs in the field.</jats:p>}, 
  number={23}, 
  publisher={MDPI AG}, 
  author={Alanzi, Haifa and Alkhatib, Mohammad}, 
  year={2022}, 
  month={Dec}
  }