[1]XIONG Liu,CAO Xiedong,LI Jie,et al.Study and simulation of the SCADA security factors neuron’scloud inference engine[J].CAAI transactions on intelligent systems,2016,11(5):688-695.[doi:10.11992/tis.201509020]
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Study and simulation of the SCADA security factors neuron’scloud inference engine

CAAI transactions on intelligent systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 11 Number of periods: 2016 5 Page number: 688-695 Column: 学术论文—脑认知基础 Public date: 2016-11-01
Title:
Study and simulation of the SCADA security factors neuron’scloud inference engine
Author(s):
XIONG Liu1;  CAO Xiedong1;  LI Jie1;  YANG Li2;  LIU Zengliang3
1. School of Electrical Information Engineering, Southwest Petroleum University, Chengdu 610500, China;
2. School of Computer Science, Southwest Petroleum University, Chengdu 610500, China;
3. Institute of Information Operation, University of National Defense, Beijing 100091, China
Keywords:
SCADA information security; factor space; factor neuron; cloud model; MATLAB simulation
CLC:
TP18
DOI:
10.11992/tis.201509020
Abstract:
Over recent years, with the amount of incidents involving industrial control information systems, the safety of these system has been given increased importance across the Globe, and several technical measures have been implented to improve this. This paper proposed an active defense method based on a factor neural network in reference to SCADA information security. The different aspects of SCADA information security were mapped to factor coordinates, and the factor neuron method for knowledge factors was then used to transform this from a fuzzy concept (represented by language) to quantitative data through a cloud inference engine. Inference was then conducted through generated multi conditions and multi rules based on a cloud model, so that it could then be transformed into a qualitative language (e.g.‘more likely’based on Ex) to be able to forecast the consequences of unknown malicious programs. This paper focus on using a generator with multiple conditions and rules based on a cloud model to achieve inference, thus providing an idea of the oil and gas SCADA information security’s defense response using algorithmic design and MATLAB-based simulations.
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