利用网络算法推进一体化防空系统（IADS）导弹连的网络防护策略
Advancing Network Securing Strategies with Network Algorithms for Integrated Air Defense System (IADS) Missile Batteries
AI总结：
本文提出基于网络算法构建模型，顺序制定七种部署地对空导弹连的网络防护策略，以最少拦截导弹最大化摧毁来袭导弹并保护资产，适用于一体化防空系统和制空作战规划。
摘要：
近年来，一体化防空系统（IADS）已成为防御体系的重要组成部分，因为军事防御体系对国家安全至关重要。在多个地点之间部署一体化防空系统导弹连以保护各地资产是一个关键问题，因为需要最优解来使拦截导弹拦截来袭导弹，从而最大化跨地点或跨区域的资产防护。本研究将演示使用网络算法以及开发若干网络算法的过程，以构建一个模型，用于顺序制定七种网络防护策略，即部署地对空导弹（SAM）导弹连，通过计算生成最优解，在给定拦截概率下使用最少数量的拦截导弹摧毁最大数量的来袭导弹，从而最大化跨地点资产防护（基于给定的资产价值）。这些网络防护策略不仅可用于一体化防空系统（IADS）规划，还可用于制空作战（CA）规划，因为一体化防空系统（IADS）与由进攻性制空作战中的攻击行动所支持的防御性制空作战协同实施。
英文摘要：
Recently, the Integrated Air Defense System (IADS) has become vital for the defense system as the military defense system is vital for national security. Placing Integrated Air Defense System batteries among locations to protect locations assets is a crucial problem because optimal solutions are needed for interceptor missiles to intercept attacker missiles for maximizing protection of assets across locations or places. In this research, the procedures of using network algorithms along with developing several network algorithms are going to be demonstrated to develop a model for sequential development of seven network securing strategies of placing Surface to Air Missile (SAM) batteries to maximize the protection of assets across locations (based on given asset values) by generating optimal solutions through computation to destroy maximum attacker missiles by using minimum interceptor missiles with given intercept probability. This network securing strategies can be implemented not only for Integrated Air Defense System (IADS) planning but also Counter Air (CA) planning as Integrated Air Defense System (IADS) is conducted with defensive counter air supported by attack operations in offensive counter air.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
