A Vulnerability Optimization Method for Security-Critical Real-Time Systems

Abstract

In this paper, we focus on task scheduling problems in security-critical real-time systems. We consider that all of the critical tasks are equipped with RC5 algorithm to reduce the vulnerability when facing security attacks. The relationships among security level, vulnerability and execution time of each task are firstly deduced. Then, a Multiple Task Vulnerability Optimization Method (MTVOM), which is based on dynamic programming algorithm, is devised to obtain minimal vulnerability under strict timing constraints. Furthermore, we take task criticality into consideration because each task is not equally important to its system. Finally, simulation experiments demonstrate the effectiveness of this method.