利用状态数据的无人平台测控协议逆向分析方法

针对无人平台测控数据通信安全问题,提出了一种测控协议逆向分析模型.模型采用数据挖掘方法对通信报文中的协议格式和语义信息进行分析,主要采用改进BF(Brute-Force)算法和AP(Affinity-Propagation)算法进行模式串匹配和关联规则提取,以提取协议初步格式;采用序列比对技术中改进SW(Smith-Waterman)算法,结合监测状态数据对格式和语义信息作进一步分析.通过仿真实验模拟协议逆向分析了所需要的无人平台与基站的通信数据和雷达监测状态数据;根据协议逆向模型仿真试验结果可得到100%的协议格式识别率和90.9%的语义识别率,结果证明了提出的逆向分析模型的有效性.

A reverse analysis method of TT&C protocol based on monitoring state data for unmanned platform

For the communication security problem of telemetry,tracking and command(TT&C) data on unmanned platform,a reverse analysis model of TT&C protocol is proposed.The model adopts the data mining method to analyze the protocol format and semantic information in the message.The improved Brute-Force(BF) algorithm is used to perform the pattern string matching,and the AP(Affinity-Propagation) algorithm is used to perform the association rule extracting.Then the preliminary format of protocol message is obtained.The improved Smith-Waterman(SW) algorithm in sequence alignment technique is adopted to analyze the format and semantic information in combination with the monitoring state data.Simulation experiments are carried out to simulate the experimental data of the protocol reverse analysis,including the communication data on unmanned platform and base station and radar monitoring status data.The simulation results of reverse analysis show 100% resolution rate of protocol format and 90.9% semantic parsing resolution rate.The results demonstrate the effectiveness of the model.