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Fishbone model and universal authentication framework for evaluation of multifactor authentication in mobile environment

机译:鱼骨模型和通用认证框架,用于评估移动环境中的多因素认证

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摘要

The trend of rapid evolutionary development of mobile technologies and the existence of different user's priorities are creating new challenges with regard to selection of multifactor authentication (MFA) solutions. This becomes even more challenging by creating a universal authentication framework (UAF). In order to cope with these challenges, this paper has proposed a Fishbone model and developed in form of the UAF which is based on a larger number of linguistic variables and a wider set of user's priorities such as security, usability, accessibility, pricing, complexity, privacy and convenience (SUAPCPC). In comparison to all other papers available in the literature, the Fishbone model provides numerical evaluation of MFA with the possibility of changing weighted criteria for the selected user priorities. In addition, the contributions of this model are twofold. For user's, to enable easier choice of MFA solution, for developers, to identify spots where a method or solution could be improved. For development of the Fishbone model, fuzzy methodology is used in form of a Fuzzy Expert System (FES) tool. Also, the block diagram and the basic modules of the Fishbone model architecture are given. The results of implementation of the Fishbone model in form of the UAF have showed that this model is applicable and very efficient in practice. Finally, the Fishbone model gives an ideal template in UAF at which user's priorities satisfy the best individual users' solutions. The realization of this template presents challenge for all future developers of MFA solutions. (C) 2019 Elsevier Ltd. All rights reserved.
机译:移动技术快速发展的趋势以及不同用户优先级的存在,在选择多因素身份验证(MFA)解决方案方面带来了新的挑战。通过创建通用身份验证框架(UAF),这变得更具挑战性。为了应对这些挑战,本文提出了Fishbone模型,并以UAF的形式开发了该模型,该模型基于大量的语言变量和更广泛的用户优先级,例如安全性,可用性,可访问性,定价,复杂性,隐私和便利(SUAPCPC)。与文献中的所有其他论文相比,Fishbone模型提供了MFA的数值评估,并可能针对所选用户优先级更改加权标准。另外,该模型的贡献是双重的。对于用户而言,为了使MFA解决方案的选择更加容易,对于开发人员来说,要找出可以改进方法或解决方案的地方。对于Fishbone模型的开发,以模糊专家系统(FES)工具的形式使用模糊方法。此外,给出了Fishbone模型架构的框图和基本模块。鱼骨模型以UAF形式实施的结果表明,该模型适用且在实践中非常有效。最后,Fishbone模型在UAF中提供了理想的模板,用户优先级可以满足最佳个人用户的解决方案。该模板的实现为MFA解决方案的所有未来开发人员带来了挑战。 (C)2019 Elsevier Ltd.保留所有权利。

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