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Temporal Mode-Checking for Runtime Monitoring of Privacy Policies

机译:临时模式检查,以对隐私策略进行运行时监视

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摘要

Fragments of first-order temporal logic are useful for representing many practical privacy and security policies. Past work has proposed two strategies for checking event trace (audit log) compliance with policies: online monitoring and offline audit. Although online monitoring is space: and time-efficient, existing techniques insist that satisfying instances of all subformulas of the policy be amenable to caching, which limits expressiveness when some subformulas have infinite support. In contrast, offline audit is brute force and can handle more policies but is not as efficient. This paper proposes a new online monitoring algorithm that caches satisfying instances when it can, and falls back to the brute force search when it cannot. Our key technical insight is a new flow- and time-sensitive static check of variable groundedness, called the temporal mode check, which determines subformulas for which such caching is feasible and those for which it is not and, hence, guides our algorithm. We prove the correctness of our algorithm and evaluate its performance over synthetic traces and realistic policies.
机译:一阶时间逻辑的片段对于表示许多实用的隐私和安全策略很有用。过去的工作提出了两种策略来检查事件跟踪(审核日志)是否符合策略:在线监视和离线审核。尽管在线监视是节省时间和空间的,但是现有技术坚持认为,可以满足策略所有子公式的实例的缓存要求,这在某些子公式得到无限支持时会限制表达能力。相反,脱机审计是蛮力的,可以处理更多策略,但效率不高。本文提出了一种新的在线监视算法,该算法可以在满足条件的情况下缓存令人满意的实例,而在无法满足条件时回退到蛮力搜索。我们的主要技术见解是对流量和时间敏感的可变基础的新静态检查,称为时间模式检查,它确定可进行此类缓存的子公式以及不进行此类缓存的子公式,从而指导我们的算法。我们证明了我们算法的正确性,并评估了其在综合痕迹和现实政策上的性能。

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