物联网(IoT)的低功耗数据传输保护

Chih-Ta Lin, Cheng-Yu Tsai, Chuan-Kai Kao
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引用次数: 0

摘要

对物联网数据传输安全的担忧阻碍了智能服务的发展。目前数据以明文传输为主,缺乏隐私保护。物联网设备资源有限,不适合复杂的加解密。谷歌公开了一种随机聚合隐私保护序数响应(RAPPOR)算法,该算法为数据传输提供了强大的隐私保障,并已在Chrome中有效实现,用于匿名举报的隐私保护。但数据恢复率仍存在1% ~ 5%的置信误差。本文改进了随机响应过程,提出了一种基于时间的动态响应方法。实验结果表明,该方法可以在有限的范围内将数据传输错误率降低到0%。此外,与常用的加解密技术(如AES)相比,计算运算可节省90%以上的时间成本,适合低功耗轻量级物联网设备之间的数据传输保护应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lower power data transport protection for Internet of Things (IoT)
The concerns over IoT (Internet of Things) data transport security impede the development of smart service. The current data are transported mainly in clear text with a lack of privacy protection. IoT equipment resources are limited, thus complex encryption and decryption are not applicable. Google disclosed a Randomized Aggregatable Privacy-Preserving Ordinal Response (RAPPOR) algorithm that provides strong privacy guarantees for data transport, which has been efficiently implemented in Chrome for privacy protection of anonymous reporting. However, the data restoration rate is still subject to 1 to 5% confidence error. In this study we improved the Randomized Response process and proposed a Time Based Dynamic Response method. Experimental results demonstrate that the data transport error rate can be reduced to 0% in a limited range. Moreover, the computational operations can save more than 90% of time cost as compared to the common encryption and decryption techniques (such as AES), which is suitable for the applications in data transport protection between lower-power lightweight IoT devices.
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