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Journal Articles ACM Transactions on Software Engineering and Methodology Year : 2022

Guaranteeing Timed Opacity using Parametric Timed Model Checking

Abstract

Information leakage can have dramatic consequences on systems security. Among harmful information leaks, the timing information leakage occurs whenever an attacker successfully deduces confidential internal information. In this work, we consider that the attacker has access (only) to the system execution time. We address the following timed opacity problem: given a timed system, a private location and a final location, synthesize the execution times from the initial location to the final location for which one cannot deduce whether the system went through the private location. We also consider the full timed opacity problem, asking whether the system is opaque for all execution times. We show that these problems are decidable for timed automata (TAs) but become undecidable when one adds parameters, yielding parametric timed automata (PTAs). We identify a subclass with some decidability results. We then devise an algorithm for synthesizing PTAs parameter valuations guaranteeing that the resulting TA is opaque. We finally show that our method can also apply to program analysis.

Dates and versions

hal-03798157 , version 1 (05-10-2022)

Identifiers

Cite

Étienne André, Didier Lime, Dylan Marinho, Jun Sun. Guaranteeing Timed Opacity using Parametric Timed Model Checking. ACM Transactions on Software Engineering and Methodology, 2022, 31 (4), pp.1-36. ⟨10.1145/3502851⟩. ⟨hal-03798157⟩
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