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首页> 外文会议>International conference on computer design >Adaptive Masking: a Dynamic Trade-off between Energy Consumption and Hardware Security
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Adaptive Masking: a Dynamic Trade-off between Energy Consumption and Hardware Security

机译：自适应屏蔽：能耗与硬件安全性之间的动态权衡

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摘要

As the Internet of Things (IoT) devices process and communicate an increasing amount of sensitive data, the confidentiality of these data is a growing concern. Hardware side-channel attacks pose a threat against the physical implementation of encryption, which is commonly used to ensure this confidentiality. Traditional hardware countermeasures against such side-channel attacks, like masking, usually introduce a high energy overhead. However, IoT devices are typically resource-constrained and have a small energy budget. Furthermore, the energy or security constraints may vary between devices or over time, depending on, e.g., the remaining battery level or data sensitivity. Therefore, a dynamic trade-off has to be found between security, power consumption and performance. In this paper, we introduce a new paradigm whereby hardware masking is applied on demand to increase the energy efficiency. We illustrate this concept by applying it to the stream cipher Trivium. We demonstrate that compared to a reference masked implementation, this solution ensures a high level of security when necessary while significantly reducing the power consumption (by up to 76.2%) the rest of the time, with a small area overhead (13.5%) and no impact on the performance.
机译：随着物联网（IoT）设备处理和传递越来越多的敏感数据，这些数据的机密性越来越引起人们的关注。硬件侧信道攻击对加密的物理实现构成威胁，通常用于确保这种机密性。诸如掩蔽之类的针对此类侧信道攻击的传统硬件对策通常会带来高昂的能源开销。但是，物联网设备通常受资源限制，并且能源预算较小。此外，取决于例如剩余电池电量或数据敏感性，能量或安全性约束可在设备之间或随时间变化。因此，必须在安全性，功耗和性能之间找到动态的权衡。在本文中，我们介绍了一种新的范式，其中按需应用硬件屏蔽以提高能效。我们通过将其应用于流密码Trivium来说明此概念。我们证明，与参考屏蔽实现相比，该解决方案在必要时可确保较高的安全性，同时在其余时间中可显着降低功耗（最多降低76.2％），而占用的面积较小（13.5％），并且无需对性能的影响。

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