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.