A Game of Things: Strategic Allocation of Security Resources for IoT

In many Internet of ing (IoT) application domains security is a critical requirement, because malicious parties can undermine the eectiveness of IoT-based systems by compromising single components and/or communication channels. us, a security infrastructure is needed to ensure the proper functioning of such systems even under aack. However, it is also critical that security be at a reasonable resource and energy cost, as many IoT devices may not have sucient resources to host expensive security tools. In this paper, we focus on the problem of eciently and eectively securing IoT networks by carefully allocating security tools. We model our problem according to game theory, and provide a Paretooptimal solution, in which the cost of the security infrastructure, its energy consumption, and the probability of a successful aack, are minimized. Our experimental evaluation shows that our technique improves the system robustness in terms of packet delivery rate for dierent network topologies.