Raspberry Pi IDS: A fruitful Intrusion Detection System for IoT
13th IEEE International Conference on Advanced and Trusted Computing (ATC 2016), IEEE Xplore, pp. 1-9, 2016
Download: http://ants.inf.um.es/~felixgm/pub/conferences/16/GomezMarmol-ATC16.pdf
Abstract: Our technology keeps advancing towards a future where everything is connected together. The Internet of Things (IoT) goal is to make every device accessible from the Internet. Even the
most common electrical appliances, such as ovens and light bulbs, will have their own IP address, and will be reachable remotely. While this enhanced connectivity will definitely improve our
quality of life, it also raises serious security, privacy and trustworthiness questions; the resource constrained nature of IoT entities makes traditional security techniques impractical.
In this paper, we propose an intrusion detection architecture for the IoT. We discuss the feasibility of employing a commodity device as the core component of the architecture. In
particular, we evaluated the performance of the Raspberry Pi, one of the most used commodity single-board computers, while running Snort, a widely known and open source Intrusion Detection
System (IDS). Our experiments show that our proposed architecture based on resource constrained devices, such as the Raspberry Pi, can effectively serve as IDS in a distributed system such as
IoT.
Keywords: Intrusion Detection, IoT, Snort, Raspberry Pi