@inproceedings{7f5b75e34d144798ba4ed6312705a548,
title = "Behavior prediction for industrial control system",
abstract = "While the Industrial control system(ICS) is making great progress for the society, it is facing a huge security risk at the same time. There are some methods like upgrading system and updating patches to protect the ICS, but they are inevitable lagging behind anyway. Byte-level is useful for network intrusion detection and does not need knowledge of the device to be detected. Based on the network data in the industrial control system, we propose an adaptive DBSCAN clustering method for extracting the control instructions in the data packet, and then learning these instructions with the n-gram model. According to received instructions, we are able to predict the next possible instruction. Whether the system is being attacked can be recommended by comparing the instruction that we forecast with the real instruction. Experiments show that the behavior prediction has high accuracy.",
keywords = "Adaptive dbscan, Behavior prediction, ICS, N-gram",
author = "Shen Wang and An Huang and Zhongchuan Fu",
note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2019.; 6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017 ; Conference date: 14-07-2017 Through 16-07-2017",
year = "2019",
doi = "10.1007/978-981-10-6571-2\_237",
language = "英语",
isbn = "9789811065705",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "1953--1958",
editor = "Qilian Liang and Min Jia and Jiasong Mu and Wei Wang and Xuhong Feng and Baoju Zhang",
booktitle = "Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems",
address = "德国",
}