TOWARDTRUSTED UNMANNED AERIAL VEHICLE SWARM NETWORKS A Blockchain-Based Approach

The unmanned aerial vehicle (UAV) swarm is widely applied in many fields, such as disaster relief and geological exploration. However, it is highly vulnerable when facing an attack from internal malicious UAVs due to the underlying disconnected, intermittent, and limited (DIL) network environment. Recently, building trusted networks has been considered as a strategy to address security issues. Nevertheless, deploying a trusted network in a swarm faces many challenges imposed by the dynamic topology and limited resources of DIL networks. In order to overcome these challenges, we developed a blockchain-based UAV trusted self-organizing networking mechanism (BC-UTSON) to enhance internal security. Three key technologies are proposed for assisting BC-UTSON in achieving trustworthiness. UAV practical Byzantine fault tolerance (U-PBFT) is proposed to guarantee the lightweight consensus and real-time full-node trustworthiness evaluation under the hierarchical self-organizing networking structure of a UAV swarm. A blockchain-based multiweighted subjective logic (BMWSL) scheme has been designed to identify malicious UAV nodes based on the trustworthiness evaluation, which also assists the trusted path quality-aware dynamic routing (TPDR) mechanism to prevent data from routing through malicious nodes. The experimental results show that the proposed BC-UTSON performs much better than nonblockchain-based mechanisms for the UAV swarm.

Automated summary

To enhance internal security of UAV swarm, a blockchain-based UAV trusted self-organizing networking mechanism (BC-UTSON) was developed. This mechanism utilizes three key technologies including UAV practical Byzantine fault tolerance (U-PBFT), blockchain-based multiweighted subjective logic (BMWSL) scheme, and trusted path quality-aware dynamic routing (TPDR) mechanism. Experimental results show that BC-UTSON performs better than nonblockchain-based mechanisms in UAV swarm.