Prediction of abnormal temporal behavior in real-time systems

Prediction of abnormal temporal behavior in real-time systems
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实时系统中异常时间行为的预测

DOI:
10.1145/3167132.3167172
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发表时间:
2018
期刊:
Proceedings of the 33rd Annual ACM Symposium on Applied Computing
影响因子:
--
通讯作者:
R. Ernst
R. Ernst
中科院分区:
--
文献类型:
--
作者:
M. Hamad;Z. A. Hammadeh;S. Saidi;V. Prevelakis;R. Ernst

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确保实时和安全关键系统的安全性变得非常具有挑战性,特别是由于这些系统的连接性越来越强,例如新兴的自动驾驶汽车受到新的和更多的安全攻击。实时系统的主要特征是它们具有严格的时间约束。必须满足这些约束,以确保系统的正确性。在本文中,我们使用的时间属性所需的安全系统的时序分析,以检测系统的不当行为,并提高其相应的安全功能。为此,我们定义了时间边界,用于检测运行应用程序的时间偏离标称行为。此外,我们提出了一个预测方案,它使用指定的配置在实时系统中。
Ensuring security in real-time and safety-critical systems is becoming extremely challenging, in particular due to the increasingly connectivity of these systems, such as in emerging autonomous vehicles that are subject to new and higher number of security attacks. The main characteristics of real-time systems is that they have strict timing constraints. These constraints must be met in order to ensure the correctness of the system. In this paper, we use the temporal properties derived from the timing analysis of the system required for safety, in order to detect the misbehavior of the system and improve its corresponding security features. For this, we define temporal boundaries which are used to detect the temporal off-nominal behavior of running applications. Moreover, we present a prediction scheme which uses the designated configuration in real-time systems.
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