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Detecting Fault Injection Attacks on Embedded Real-Time Applications: A System-Level Perspective

机译:在嵌入式实时应用程序上检测故障注入攻击:系统级的角度

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摘要

This paper presents an approach to the synthesis of secure real-time applications mapped on distributed embedded systems, which focuses on preventing fault injection attacks. We utilize symmetric cryptographic service to protect confidentiality, and deploy fault detection within confidential algorithm to resist fault injection attacks. Several fault detection schemes are identified, and their fault coverage rates and time overheads are derived and measured, respectively. Our synthesis approach makes efforts to determine the best fault detection schemes for the encryption/decryption of messages, such that the overall security strength of resisting fault injection attack is minimized, and the deadline constraint of the real-time applications is guaranteed. Since addressing the problem is still a NP-hard problem, we propose an efficient algorithm based on Fruit fly Optimization Algorithm (FOA), which can achieve better results by lower time overheads, compared with simulated annealing algorithm. Extensive experiments demonstrate the superiority of our approach.
机译:本文提出了一种用于映射分布在嵌入式嵌入式系统上的安全实时应用程序的方法,该方法着重于防止故障注入攻击。我们利用对称加密服务来保护机密性,并在机密算法中部署故障检测以抵抗故障注入攻击。确定了几种故障检测方案,分别推导和测量了它们的故障覆盖率和时间开销。我们的综合方法将努力确定用于消息加密/解密的最佳故障检测方案,以使抵抗故障注入攻击的总体安全强度最小化,并保证实时应用程序的期限约束。由于解决该问题仍然是NP难题,因此,我们提出了一种基于果蝇优化算法(FOA)的有效算法,与模拟退火算法相比,该算法可通过较低的时间开销获得更好的结果。大量的实验证明了我们方法的优越性。

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