Tree-Based Attack–Defense Model for Risk Assessment in Multi-UAV Networks

Abstract

Unmanned aerial vehicles (UAVs) networks are attack-prone networks due to high mobility and distributed nature. Most of the existing approaches focus on prevention instead of analyzing the security vulnerabilities. For an efficient analysis, the interaction between attackers and defenders need to be investigated. Hence, a tree-based attack–defense model for security analysis of multi-UAV networks has been discussed in this paper. An attack–defense tree has been designed that depicts every move of the defender with respect to the attacker's strategies. Using this attack–defense tree, a game theoretic scheme for risk assessment is formulated. The efficiency of the proposed scheme has been evaluated using a case study for the distributed denial-of-service attack.