How to Protect Key Drones in Unmanned Aerial Vehicle Networks? An SDN-Based Topology Deception Scheme
Yawen Tan, Jiajia Liu, Jiadai Wang
Abstract
Unmanned Aerial Vehicle (UAV) networks, consisting of flexible, low-cost as well as easily deployable UAVs, have attracted intensive research interest recently. Due to different roles of drones in a network, some drones can be recognized as more important than others. For example, in UAV-assisted wireless sensor networks, drones can be used as store-carry and forward nodes to collect data from sensors and aid communications among them. If UAVs that act as the bridge of a large number of sensors are attacked, the production efficiency will be seriously affected. However, existing work concerning about UAV network security seldom noticed the differences among drones, let alone implementing special measures for protecting key drones. Motivated by this, we focus on the security issue of UAV networks from the perspective of key drones' protection. We first analyze the distinctions of attack impacts when adopting different target selection strategies, revealing that key drones exist and it is significantly important to protect them. Then, a topology deception scheme based on software-defined networking is proposed, which can mitigate the attack impact by tempting attackers through our well-designed virtual topologies, leading to their misjudgments on the key drones. Extensive experimental results illustrate that our scheme can effectively deceive attackers and significantly mitigate the impact of targeted attacks.