Design optimization of secure message communication for energy-constrained distributed real-time systems

In this paper, we approach the design of energy- and security-critical distributed real-time embedded systems from the early mapping and scheduling phases. We focus on providing the best confidentiality protection of internal communication in DESs under timing and energy constraints. The complexity of finding the optimal solution grows exponentially as the problem size increases. Therefore, we propose an efficient, genetic algorithm based heuristic to solve the problem. In the presented algorithm, solutions are evolved gradually so that good solutions can be obtained. Extensive experiments, including a real-life case study, demonstrate the efficiency of the proposed technique.