A Survey on Adaptive Authentication

被引：25
作者：
Arias-Cabarcos, Patricia [1 ]
Krupitzer, Christian [2 ]
Becker, Christian [1 ]
机构：
[1] Univ Mannheim, L15,1-6, D-69161 Mannheim, Germany
[2] Univ Wurzburg, D-97074 Wurzburg, Germany
来源：
ACM COMPUTING SURVEYS | 2019年 / 52卷 / 04期
关键词：
Adaptive authentication; usable security; systematic literature review; USER AUTHENTICATION; USABILITY EVALUATION; ARCHITECTURE; SECURITY; DESIGN; PASSWORDS; IDENTITY; DECISION; IMPLICIT; OPTIONS;
D O I：
10.1145/3336117
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Adaptive Authentication allows a system to dynamically select the best mechanism(s) for authenticating a user depending on contextual factors, such as location, proximity to devices, and other attributes. Though this technology has the potential to change the current password-dominated authentication landscape, research to date has not led to practical solutions that transcend to our daily lives. Motivated to find out how to improve adaptive authentication design, we provide a structured survey of the existing literature to date and analyze it to identify and discuss current research challenges and future directions.
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页数：30
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