<p>The Routing Protocol for low power Lossy networks (RPL) is a
critical operational component of low power wireless personal area networks
using IPv6 (6LoWPANs). In this paper we propose a Reinforcement Learning (RL)
based IDS to detect various attacks on RPL in 6LoWPANs, including several
unaddressed by current research. The proposed scheme can also detect previously
unseen attacks and the presence of mobile intruders. The scheme is well suited
to the resource constrained environments of our target networks.</p><br>
A Dynamic Resource-Aware Routing Protocol in Resource-Constrained Opportunistic Networks
