A Support Network for Distributed Systems

被引:0
作者
Badri, Sahar [1 ]
Fergus, Paul [1 ]
Hurst, William [1 ]
机构
[1] Liverpool John Moores Univ, Sch Comp & Math Sci, Byrom St, Liverpool L3 3AF, Merseyside, England
来源
E-LEARNING AND GAMES | 2016年 / 9654卷
关键词
Critical infrastructure; Simulation; Distributed system; System of systems; Data analysis;
D O I
10.1007/978-3-319-40259-8_28
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Critical infrastructures are the backbone of everyday life and their protection from cyber-threats is an increasingly pressing issue for governments and private industries. Not only is effective security costly, the requirements individual critical infrastructures have been often unique, meaning their security systems have to be tailored to match their specific needs. As a result of these factors, simulation can play a key role in the advancement of security measures in a cheap, safe and effective way. In this paper, the development of a distributed support system is presented. The system employs behaviour analysis techniques to support interconnected infrastructures and distribute security advice throughout an interdependent system of systems. The approach is tested through the simulation, which is used to build realistic data from 8 critical infrastructures. The research is inspired by the human immune characteristics.
引用
收藏
页码:318 / 330
页数:13
相关论文
共 17 条
[1]  
AL-esaa A., 1993, EFFECT USING SIMULAT
[2]  
Asteteh D., 2007, ED E LEARNING TECHNO
[3]  
Badri S., 2016, 3 INT C MALT
[4]  
Baud L., 2010, 2010 IEEE RIVF INT C, P1
[5]  
Command D., 2006, DCSINT HDB
[6]   SCADA cyber security testbed development [J].
Davis, C. M. ;
Tate, J. E. ;
Okhravi, H. ;
Grier, C. ;
Overbye, T. J. ;
Nicol, D. .
2006 38TH ANNUAL NORTH AMERICAN POWER SYMPOSIUM, NAPS-2006 PROCEEDINGS, 2006, :483-+
[7]   Prediction of Preterm Deliveries from EHG Signals Using Machine Learning [J].
Fergus, Paul ;
Cheung, Pauline ;
Hussain, Abir ;
Al-Jumeily, Dhiya ;
Dobbins, Chelsea ;
Iram, Shamaila .
PLOS ONE, 2013, 8 (10)
[8]  
Hurst W., 2012, 13 ANN POSTGR S CONV
[9]   Advance Artificial Neural Network Classification Techniques Using EHG for Detecting Preterm Births [J].
Idowu, Ibrahim Olatunji ;
Fergus, Paul ;
Hussain, Abir ;
Dobbins, Chelsea ;
Al-Askar, Haya .
2014 EIGHTH INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS (CISIS),, 2014, :95-100
[10]  
Laugé A, 2013, LECT NOTES COMPUT SC, V8328, P50, DOI 10.1007/978-3-319-03964-0_5