| Title | A Game of Things: Strategic Allocation of Security Resources for IoT |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Rullo, Antonino, Midi, Daniele, Serra, Edoardo, Bertino, Elisa |
| Conference Name | Proceedings of the Second International Conference on Internet-of-Things Design and Implementation |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-4966-6 |
| Keywords | Internet of Things, Network security, Pareto optimization, pubcrawl, resilience, Resiliency, Scalability, security, stochastic allocation, Stochastic computing, Stochastic Computing Security |
| Abstract | In many Internet of Thing (IoT) application domains security is a critical requirement, because malicious parties can undermine the effectiveness of IoT-based systems by compromising single components and/or communication channels. Thus, a security infrastructure is needed to ensure the proper functioning of such systems even under attack. However, it is also critical that security be at a reasonable resource and energy cost, as many IoT devices may not have sufficient resources to host expensive security tools. In this paper, we focus on the problem of efficiently and effectively securing IoT networks by carefully allocating security tools. We model our problem according to game theory, and provide a Pareto-optimal solution, in which the cost of the security infrastructure, its energy consumption, and the probability of a successful attack, are minimized. Our experimental evaluation shows that our technique improves the system robustness in terms of packet delivery rate for different network topologies. |
| URL | http://doi.acm.org/10.1145/3054977.3055001 |
| DOI | 10.1145/3054977.3055001 |
| Citation Key | rullo_game_2017 |
A Game of Things: Strategic Allocation of Security Resources for IoT