在mpsoc中建立具有风险意识的noc以保护数据

Martha Johanna Sepúlveda, Daniel Flórez, Ramon Fernandes, C. Marcon, G. Gogniat, G. Sigl
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引用次数: 5

摘要

多处理器片上系统(mpsoc)作为新计算范式物联网(IoT)的关键技术,目前受到攻击。恶意应用程序可以在运行时下载到MPSoC,感染连接到片上网络(NoC)的ip块,并打开执行时序侧信道攻击(TSCA)的大门。通过监视NoC流量,攻击者能够推断出敏感信息,例如密钥。以前的工作已经表明,NoC路由可以用来避免攻击。在本文中,我们提出了GRaNoC,一种能够监控和评估NoC内部通信路径风险的NoC架构。敏感流量被交换到运行时定义的最小的低风险路径。我们提出了五种无死锁的风险感知路由算法,并在几种合成基准和SPLASH-2基准下评估了其安全性、性能和成本。我们表明,我们的架构能够保证在运行时的安全路径,同时只增加低成本和性能损失的MPSoC。
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Towards risk aware NoCs for data protection in MPSoCs
Multi-Processors Systems-on-Chip (MPSoCs), as a key technology enabler of the new computation paradigm Internet-of-Things (IoT), are currently exposed to attacks. Malicious applications can be downloaded at runtime to the MPSoC, infecting IP-blocks connected to a Network-on-Chip (NoC) and opening doors to perform Timing Side Channel Attacks (TSCA). By monitoring the NoC traffic, an attacker is able to infer the sensitive information, such as secret keys. Previous works have shown that NoC routing can be used to avoid attacks. In this paper we propose GRaNoC, a NoC architecture able to monitor and evaluate the risk of the communication paths inside the NoC. Sensitive traffic is exchanged to minimal low-risk paths defined at runtime. We propose five types of dead-lock free risk-aware routing algorithm and evaluate the security, performance and cost under several synthetic and SPLASH-2 benchmarks. We show that our architecture is able to guarantee secure paths during runtime while adding only low cost and performance penalties to the MPSoC.
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