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Managing distributed trust relationships for multi-modal authentication
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DOI：10.1016/j.jisa.2018.01.003.png)
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摘要
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Multi-modal active authentication schemes fuse decisions of multiple behavioral biometrics (behaviometrics) to reduce identity verification errors. The challenge that we address in this work is the security risk caused by these decision fusion schemes making invalid assumptions, such as a fixed probability of (in)correct recognition and a temporal congruence of behaviometrics. To mitigate this risk, this paper presents a formal trust model that drives the behaviometric selection and composition. Our trust model adopts a hybrid approach combining policy and reputation based knowledge representation techniques. Our model and framework (1) externalizes trust knowledge from the authentication logic to achieve loosely coupled trust management, and (2) formalizes this knowledge in description logic to reason upon and broker complex distributed trust relationships to make risk-adaptive decisions for multi-modal authentication. The evaluation of our proof-of-concept illustrates an acceptable performance overhead while lifting the burden of manual trust and behaviometnc management for multi-modal authentication. (C) 2018 Elsevier Ltd. All rights reserved.
Keyword:
Authentication
Behavioral biometrics
Reputation
Trust model
Ontology
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3.7
论文数:
1.9K
被引数:
4.9K
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