Intrusion Perception Technology of the SCADA System of Oil and Gas Gathering and Transporting Based on FNN

DOI

10.2991/icicci-15.2015.18How to use a DOI?

Keywords

Keywords-SCADA; Factors Neural Network; Perception; API HOOK

Abstract

Abstract—The security of the SCADA system has caused widespread concern in the world. This article first introduces the difference between SCADA system and traditional IT system, and the shortcomings of traditional intrusion perception technology. Then combine factors nerve theory, Establish the common factor neuron model of SCADA system and give it formal description. Research on the behavioral characteristics of malicious programs to extract major behavioral perception factors. Finally, use technology of API HOOK to achieve the perception of malicious behavior.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yang Fan
AU  - Xiedong Cao
PY  - 2015/09
DA  - 2015/09
TI  - Intrusion Perception Technology of the SCADA System of Oil and Gas Gathering and Transporting Based on FNN
BT  - Proceedings of the 2nd International Conference on Intelligent Computing and Cognitive Informatics
PB  - Atlantis Press
SP  - 82
EP  - 85
SN  - 1951-6851
UR  - https://doi.org/10.2991/icicci-15.2015.18
DO  - 10.2991/icicci-15.2015.18
ID  - Fan2015/09
ER  -