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

机译:检测嵌入式实时应用的故障注入攻击:系统级视角

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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:本文提出一种方法的安全实时应用映射到分布式嵌入式系统的合成,其重点是防止故障注入攻击。我们利用对称加密服务来保护机密性和保密算法中部署故障检测抵御故障注入攻击。一些故障检测方案确定,他们的故障覆盖率和时间开销分别导出和测量。我们的综合方法使努力,以确定消息,从而抵御故障注入攻击的整体安全强度最小的加密/解密的最好的故障检测方案,并实时应用程序的最后期限约束的保证。由于解决这一问题仍然是一个NP难问题,提出了一种基于果蝇优化算法(FOA),这可以通过较低的时间开销达到更好的效果,与模拟退火算法相比,有效的算法。大量的实验证明了该方法的优越性。

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