Intelligent air-based threats are considered as the main elements of terrorist attacks which damage vital infrastructures. Air defence systems with a strategic and decisive role in defense networks require smart management and operational mechanisms to countermeasure the threats and risks both quickly and decisively. The main objective of this investigation was to develop a spatial methodology to reduce the vulnerability of infrastructures against airborne threats. The proposed method tried to detect the threatening parameters of air-based threats and the vulnerability parameters of infrastructures in order to find a solution for deviating airborne threats equipped with GPS and INS. The proposed method was implemented for the power electric infrastructure in Isfahan, Iran. The authors tried to identify the most probable routes for airborne threats targeting such strategic infrastructures. More specifically, the aim was to mislead the threats and deny access to infrastructures and finally to locate the optimum sites for the deployment of jammers. Eventually, the proposed method showed to reduce the total number of jammer positioning processes to a desirable level. The results indicated that the number of jammers decreased by about 28% and the extent of damage was reduced by 57%.

智能的空中威胁被认为是破坏重要基础设施的恐怖袭击的主要因素。在国防网络中具有战略性和决定性作用的防空系统需要智能的管理和操作机制，以迅速，果断地应对威胁和风险。这项调查的主要目的是开发一种空间方法，以减少基础设施遭受空中威胁的脆弱性。所提出的方法试图检测空中威胁的威胁参数和基础设施的脆弱性参数，以找到一种解决方案，以解决配备GPS和INS的空中威胁的问题。拟议的方法已在伊朗伊斯法罕的电力电气基础设施中实施。作者试图确定针对此类战略基础设施的空中威胁的最可能路线。更具体地说，其目的是误导威胁并拒绝使用基础结构，并最终找到部署干扰器的最佳地点。最终，提出的方法显示出将干扰器定位过程的总数减少到理想水平。结果表明，干扰机的数量减少了约28％，损坏程度减少了57％。