航空通信数据结构的脆弱点检查模型仿真

Simulation on Model of Vulnerabilities Examining for Air Communication Data Structure

对航空通信数据结构进行鲁棒性检测,找到脆弱点对航空安全至关重要。航空通信数据与传统的通信数据不同,包含大量和飞行时产生的随机数据。由于通信数据结构处在不断变化中。传统的数据结构脆弱点检测中,以固定数据结构为前提,没有考虑航空数据结构实时变化造成的的干扰,存在严重的遮蔽效应,降低了航空通信数据结构脆弱点检测方法的准确性。提出了一种依据多维熵值航空通信数据结构的脆弱点检测模型,采用Filter-ary-Sketch及时存储航空通信数据结构信息,间隔一定周期进行基于多维熵值的航空通信数据结构脆弱点检测,若发现异常,按照Filter-ary-Sketch保存的通信数据结构信息定位脆弱点,检测出一个脆弱点,立即进行修正,再进行下一个脆弱点的检测,避免出现遮蔽效应,实现航空通信数据结构脆弱点的准确检测。实验结果说明,对比传统检测模型,所提模型具有较高的检测效率和精度,取得了较好的效果。

Robustness of data structure for aeronautical communications is essential for finding vulnerabilities in aviation safety. The paper proposed a vulnerability detection model based on the entropy of aeronautical communications multidimensional data structures. Filter-ary-Sketch was used to timely store the structure information of aeronautical communication data, the weak point detection based on the entropy of aeronautical communications multidimensional data structures was carried out for some interval period. If the abnormal was discovered, the vulnerabilities were located according to Filter-ary-Sketch information stored communication data structures, to detect a weak point and correct it immediately, then the next weak point was detected to avoid shadowing effect. The experimental results show that, compared with traditional detection model, the proposed model has higher detection efficiency and accuracy.