Digital Signature Techniques for IoT Privacy and Trust Management

In this article, a live solution for data acquisition from sensors and its representation on a web interface is discussed with the help of a Raspberry Pi in which MQTT is used for communication the Flask as the framework. Particularly emphasized is the improvement of the efficiency and the time needed for generating Digital signature using the ECDSA algorithm which is traditionally slow and requires much resources to be applied for real time IoT applications. For this, the authors try the approach of parallel processing on the Raspberry Pi which becomes many times shorter in generation of the signatures without any loss of the data integrity. It involves input data including temperature, humidity, motion, distance, and light intensity, processes them and then sends the input data over a secure MQTT connection. They also showed that the FCMP algorithm incurs less computation time, and the speed attained is almost constant and stable when parallel processing is incorporated in the generation of some of the ECDSA algorithm’s signatures. As presented in the experimental results, the processing time is reduced in comparison with sequential processing, which emphasizes the possibility of parallelization. Altogether we can state that the usage of Raspberry Pi and Flask as the core of the system along with MQTT as a communication protocol provides the necessary level of security and reliability for monitoring the sensor data in the IoT system. They show that parallel processing can indeed help enhance the cryptographic operations making this approach beneficial for performance optimization across multiple IoT applications.