有效载荷(计算)
计算机科学
协议(科学)
网络数据包
领域(数学分析)
变量(数学)
纳克
克
特征(语言学)
数据挖掘
计算机网络
人工智能
数学
哲学
病理
语言模型
数学分析
生物
医学
替代医学
细菌
遗传学
语言学
作者
Rui Wang,Yijie Shi,Jinkou Ding
标识
DOI:10.1109/iccc51575.2020.9345023
摘要
Protocol reverse engineering is essential to information security of industrial control systems. In this paper, we propose a V-gram method, which takes variable gram as input of XGBoost. In view of the periodic and structurally fixed characteristics of industrial control protocol, progressive multi-sequence alignment algorithm is used to cluster initial message samples for traffic with the same payload length. V-gram is generated after the variable domain and fixed domain of message sequences are separated, and feature words are extracted by XGBoost model. The states of data packets are classified and tagged with XGBoost, so as to realize the construction of FSM model. Experimental results show that the proposed approach is effective in mining junior semantic information for industrial control protocols.
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