Set-Pi: Set Membership p-Calculus

Alessandro Bruni, S. Mödersheim, Flemming Nielson, H. R. Nielson
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引用次数: 18

Abstract

Communication protocols often rely on stateful mechanisms to ensure certain security properties. For example, counters and timestamps can be used to ensure authentication, or the security of communication can depend on whether a particular key is registered to a server or it has been revoked. ProVerif, like other state of the art tools for protocol analysis, achieves good performance by converting a formal protocol specification into a set of Horn clauses, that represent a monotonically growing set of facts that a Dolev-Yao attacker can derive from the system. Since this set of facts is not state-dependent, the category of protocols of our interest cannot be precisely analysed by such tools, as they would report false attacks due to the over-approximation. In this paper we present Set-π, an extension of the Applied π-calculus that includes primitives for handling databases of objects, and propose a translation from Set-π into Horn clauses that employs the set-membership abstraction to capture the non-monotonicity of the state. Furthermore, we give a characterisation of authentication properties in terms of the set properties in the language, and prove the correctness of our approach. Finally we showcase our method with three examples, a simple authentication protocol based on counters, a key registration protocol, and a model of the Yubikey security device.
Set- pi:集合隶属度p-微积分
通信协议通常依赖于有状态机制来确保某些安全属性。例如,计数器和时间戳可用于确保身份验证,或者通信的安全性取决于特定密钥是注册到服务器还是已被撤销。与其他用于协议分析的先进工具一样,ProVerif通过将正式的协议规范转换为一组Horn子句来实现良好的性能,这些子句表示Dolev-Yao攻击者可以从系统中导出的单调增长的事实集。由于这组事实不依赖于状态,因此我们感兴趣的协议类别无法通过此类工具精确分析,因为它们会由于过度近似而报告错误的攻击。本文给出了应用π-演算的扩展Set-π,它包含了处理对象数据库的原语,并提出了将Set-π转换为Horn子句的方法,该方法利用集合隶属度抽象来捕捉状态的非单调性。在此基础上,我们用语言的集合属性给出了认证属性的表征,并证明了我们方法的正确性。最后,我们用三个示例展示了我们的方法:一个基于计数器的简单身份验证协议、一个密钥注册协议和一个Yubikey安全设备模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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