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Securing Oil Tank Level Control System against Adversary Attacks using Fuzzy Logic Technique

by P. Enyindah, C. Onukwugha, E.N. Osegi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 184 - Number 6
Year of Publication: 2022
Authors: P. Enyindah, C. Onukwugha, E.N. Osegi
10.5120/ijca2022922017

P. Enyindah, C. Onukwugha, E.N. Osegi . Securing Oil Tank Level Control System against Adversary Attacks using Fuzzy Logic Technique. International Journal of Computer Applications. 184, 6 ( Apr 2022), 30-41. DOI=10.5120/ijca2022922017

@article{ 10.5120/ijca2022922017,
author = { P. Enyindah, C. Onukwugha, E.N. Osegi },
title = { Securing Oil Tank Level Control System against Adversary Attacks using Fuzzy Logic Technique },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2022 },
volume = { 184 },
number = { 6 },
month = { Apr },
year = { 2022 },
issn = { 0975-8887 },
pages = { 30-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume184/number6/32335-2022922017/ },
doi = { 10.5120/ijca2022922017 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:20:47.482660+05:30
%A P. Enyindah
%A C. Onukwugha
%A E.N. Osegi
%T Securing Oil Tank Level Control System against Adversary Attacks using Fuzzy Logic Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 184
%N 6
%P 30-41
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A framework is proposed for a secure industrial process control system for an oil tank using a fuzzified technique in Matlab-Simulink. Specified start messages were encrypted and decrypted using a generic equation in Matlab m-file. Industrial process is simulated using a fuzzy-logic inference system in a Simulink model. There are two inputs to the fuzzy controller: the rate of change of the oil level and the difference between the actual and the required oil levels. The controller uses these inputs to control the inflow rate. A Rule Viewer is used to show dynamically which rule the fuzzy controller is using to set the flow rate. The required oil level is also set dynamically at run-time once the correct decoder equation has been specified. The results of the simulation showed high degree of stability in process variables before and after simulations of adversary attacks on the system.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cyptographic model fuzzified encryption-decryption generic equation oil level adversary attacks

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