A new formal description model of network attacking and defence knowledge of oil and gas field SCADA system

Authors:
Li Yang;Xiedong Cao;Jie Li;Cundang Wei;Shiyong Cao;Dan Zhang;Zhidi Chen;Gang Tang
Affiliations:
Southwest Petroleum University, Chengdu, P.R. China;Southwest Petroleum University, Chengdu, P.R. China;Southwest Petroleum University, Chengdu, P.R. China;Southwest Petroleum University, Chengdu, P.R. China;Southwest Petroleum University, Chengdu, P.R. China;Southwest Petroleum University, Chengdu, P.R. China;Southwest Petroleum University, Chengdu, P.R. China;Sinopec Southwest Petroleum Branch, P.R. China
Venue:
APWeb'12 Proceedings of the 14th international conference on Web Technologies and Applications
Year:
2012

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Abstract

In this paper, we analyse the factors affecting the network security of a gas SCADA system. We model the security problem in the SCADA system into an online digital intelligent defensing process, including all reasoning judgment, thinking and expression in attacking and defence. This model abstracts and establishes a corresponding and equivalent network attacking and defence knowledge system. Also, we study the formal knowledge theory of SCADA network for oil and gas fields though exploring the factors state space, factors express, equivalence partitioning etc, and then put forward a network attack effect fuzzy evaluation model using factor neural network theory. The experimental results verify the effectiveness of the model and the algorithm, which lays the foundation for the research of the simulation method.