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Towards a Compressive-Sensing-Based Lightweight Encryption Scheme for the Internet of Things

机译:朝着用于互联网的基于压缩感应的轻量级加密方案

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Internet of Things (IoT) is flourishing and has penetrated deeply into people's daily life. With the seamless connection to the physical world, IoT provides tremendous opportunities to a wide range of applications. However, potential risks exist when the IoT system collects sensor data and uploads it to the Cloud. The leakage of private data can be severe with curious database administrator or malicious hackers who compromise the Cloud. In this work, we propose Kryptein, a compressive-sensing-based lightweight encryption scheme for Cloud-enabled IoT systems to secure the interaction between the IoT devices and the Cloud. Kryptein supports random compressed encryption, statistical computation over cipher, and accurate raw data decryption. According to our evaluation based on two real datasets, Kryptein provides strong protection to the data. It is 250 times faster than other state-of-the-art systems and incurs 120 times less energy consumption. The performance of Kryptein is also measured on off-the-shelf IoT devices, and the result shows Kryptein can run efficiently on IoT devices. After comparing with other state-of-the-art lightweight ciphers on IoT (Simon and Speck), IoT system with Kryptein is expected to have a much more longevity with about 35 percent extended lifetime. Further, experiments illustrated IoT data variance will not affect Kryptein's accuracy in a long term usage, and Krpytein is also able to support basic analytics tasks like machine learning (e.g., classification).
机译:事情互联网(物联网)正在蓬勃发展,深入渗透到人们的日常生活中。随着物理世界的无缝连接,IOT为广泛的应用提供了巨大的机会。但是,当物联网系统收集传感器数据并将其上传到云时,存在潜在的风险。私人数据的泄漏可能是严重的,令人害羞的数据库管理员或恶意黑客妥协云。在这项工作中,我们提出了一种用于云的IOT系统的基于压缩感应的轻量级加密方案,以确保物联网设备与云之间的交互。 Kryptein支持随机压缩加密,通过密码和准确的原始数据解密。根据我们基于两个真实数据集的评估,Kryptein为数据提供了强烈的保护。它比其他最先进的系统速度快250倍,能耗的能量消耗量减少了120倍。 Kryptein的性能也在从货架上的IOT设备上测量,结果显示Kryptein可以在物联网设备上有效地运行。在与IOT(SIMON和SPECK)上的其他最先进的轻量级密码相比,IOT系统与Kryptein有更多的长寿,延长了大约35%。此外,实验所示的IOT数据方差不会影响Kryptein在长期使用中的准确性,而Krpytein也能够支持像机器学习(例如,分类)等基本分析任务。

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