Abstract: In Cyber-Physical Networked Systems (CPNS), the antagonist can inject false measurements into the controller through compromised sensor nodes, which not only threaten the security of the system, but also consume network resources. To deal with this issue, a number of en-route filtering schemes have been designed for wireless sensor networks. However, these schemes either lack resilience to the number of compromised nodes or depend on the statically configured routes and node localization, which are not suitable for CPNS. In this research, we propose a system, which can filter false inoculated data effectively and achieve a high resilience to the number of compromised nodes without relying on static routes and node localization. This adopts polynomials instead of Message Authentication Codes (MACs) for endorsing measurement reports to achieve resilience to attacks. Each node stores two types of polynomials: authentication polynomial and check polynomial, derived from the primitive polynomial, and used for recommending and verifying the measurement reports. Through extensive theoretical analysis and experiments, our data shows that our system will achieves better filtering capacity and resilience to the large number of compromised nodes in appraisal to the existing schemes. The Polynomial based Compromise Resilient En-route Scheme against False Data Attacks Networked Systems done by using OM Net Simulator.
Key Words: Cyber-physical networked system, data injection