Most of the control systems rely on data that often contain privacy sensitive information. Smart power networks, smart water grids, smart buildings, and intelligent transportation systems are some examples of using these control algorithms to achieve linked optimization and automation. Development of the embedded devices and systems become ubiquitous in our environment which makes it possible to process a vast amount of data. However, it could put the entire system at risk when control actions are computed on third-party platforms. In this dissertation, the secure multiparty computation using Shamir’s secret sharing scheme is investigated as a secure approach where private data is split into computational shares. Since, shares reveal no information about private data, computing on shares can be done by servers with low risk. A privacy-preserving algorithm is addressed for distributed and secure multiparty cloud computation of the attitude control of a satellite. A compensator is designed by the pole placement method and discretized for digital control implementation of the dynamic system. The feedback sensor measurements are quantized by a desired computational resolution and the computations are eva‎luated within the enciphering A/D and deciphering D/A converters enabling computations by using finite field arithmetic of the privacy-preserving protocols. The secure multiparty computation based on Shamir’s secret sharing scheme is utilized as an approach to develop secure protocols that ensure the privacy and accuracy of subsystems and protocols. Moreover, we focus on encrypted PID controller for a physical system where the control actions are distributed between cloud servers. A 2-DOF non-collocated vibrating system under earthquake excitation is going to be controlled by the proposed secure control algorithm integrated into the Newmark method while ensuring correct results and no leakage of information. Although, the number of computational servers and the selected precision of the algorithms are observed to have high impact on execution time and convergence of the results.

حميدرضا ميردامادي

محمد حائري

علي فانيان , مهدي كشميري