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.
翻译:这一研究有助于设计先进的智能无人驾驶飞机群的安保设计,其基础是 " 链链治理游戏(BGG) " (这是预测攻击前安全行动时刻的理论游戏模型)和 " 链链治理游戏战略联盟(SABGG) " (这是BGG的变种之一),后者经过调整,以构建最佳战略,根据在以链链为基础的暖网络中保护智能无人驾驶飞机的战略联盟采取初步行动。智能无人驾驶飞机是人工智能(AI)驱动的无人驾驶飞机,能够在没有任何指挥中心的情况下自主运行。 SABG的可分析可移动解决方案让我们通过提供最佳的无人驾驶飞机预防攻击责任来估计采取初步行动的时刻。这一先进的安全无人驾驶飞机群网络是通过调整 " SABGG " 模式设计的。这一研究帮助用户开发一个新的智能无人驾驶飞机群的网络结构安全级别,该网络以分散式网络为基础。