  This research contributes to the security design of an advanced smart drone
swarm network based on a variant of the Blockchain Governance Game (BGG), which
is the theoretical game model to predict the moments of security actions before
attacks, and the Strategic Alliance for Blockchain Governance Game (SABGG),
which is one of the BGG variants which has been adapted to construct the best
strategies to take preliminary actions based on strategic alliance for
protecting smart drones in a blockchain-based swarm network. Smart drones are
artificial intelligence (AI)-enabled drones which are capable of being operated
autonomously without having any command center. Analytically tractable
solutions from the SABGG allow us to estimate the moments of taking preliminary
actions by delivering the optimal accountability of drones for preventing
attacks. This advanced secured swarm network within AI-enabled drones is
designed by adapting the SABGG model. This research helps users to develop a
new network-architecture-level security of a smart drone swarm which is based
on a decentralized network.
