期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2020
卷号：20
期号：4
页码：163-167
出版社：International Journal of Computer Science and Network Security
摘要：Authentication is a cornerstone in secure systems aiming to restrict access to legitimate claimants only. Authentication systems can be generally classified into knowledge-based (e.g., passwords), token-based (e.g., credit cards), or biometric-based (e.g., fingerprints). In this paper, we discuss the strengths and weaknesses of each class of authentication approaches with an emphasis on privacy related issues. We survey and present the related literature showing a gap on addressing users’ privacy concerns. We propose a Bayesian network approach for addressing and modelling privacy factors. We discuss the preliminary evaluation of the proposed approach. Recommendations for making privacy features more tangible and suggestions for future research directions are discussed.
