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Dependability Quantification of Cloud-Centric Authentication Frameworks

机译:以云为中心的身份验证框架的可靠性量化

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Password-based Authentication System (PAS) is one of the preferable solutions to access secure cloud services via Internet applications. In this regard, four well-known PAS systems viz; single server, multiserver, gateway augmented multiserver and two-server based PASs have been evolved in the existing state of the art. To assess dependable user authentication services in the cloud, high server-side availability of the aforesaid systems are necessary. In this paper, we propose a unified mathematical model for both single server and two-server based PAS systems. We put forward a Generalized Stochastic Petri Nets (GSPNs) based system modeling and Markovian state-based dependability analysis technique to quantify two important dependability metrics viz; reliability and availability for the said PAS systems. The performance analysis substantiates that the two-server based PAS is more dependable than the single server-based PAS in terms of availability. The proposed approach can be useful in the context of emerging cloud computing paradigm for measuring the security service dependability.
机译:基于密码的身份验证系统(PAS)是通过Internet应用程序访问安全云服务的首选解决方案之一。在这方面,有四个著名的PAS系统。单服务器,多服务器,网关增强型多服务器和基于两服务器的PAS在现有技术中得到了发展。为了评估云中可靠的用户身份验证服务,上述系统在服务器端的可用性很高。在本文中,我们为基于单服务器和基于两服务器的PAS系统提出了一个统一的数学模型。我们提出了基于广义随机Petri网(GSPNs)的系统建模和基于马尔可夫状态的可靠性分析技术,以量化两个重要的可靠性指标。所述PAS系统的可靠性和可用性。性能分析证实,基于两台服务器的PAS在可用性方面比基于单台服务器的PAS更可靠。所提出的方法在新兴的云计算范例中可以用于测量安全服务的可靠性。

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