System Simulation of a Bayesian Network-Based Performance Prediction Model for Data Communication Networks
Keywords:Computer Networks, Risk Management, Bayesian Network.
In this paper, a paradigm of a Bayesian Network–based performance prediction model for computer networks security risk management was emulated. Model simulation was carried out for the prediction model formulated. Java programming language tools were used to simulate, validate and verify the model. The core of simulation program was written in Java programming language. Some jar files were created in the code logic for all the modules in the prediction model. MS-DOS or command prompt was used to compile and run java and jar files. Batch scripts i.e. .bat files were written to compile the jar files. The output of the execution is shown using Java API files. Simulation technology was used in this study to evaluate network performance since it is very costly to deploy a complete test bed containing multiple networked computers, routers and data links to validate and verify the prediction model. The resulting risk impact on network confidentiality, Integrity and availability determine the criticality of the overall network performance which will aid in the effective application of countermeasures to mitigate the effect of network security risks.
Lee, D., Netravali, A.N., Sabnani, K.K., Sugla, B. and John A. (1997). Passive Testing and Applications to Network Management. Presented at the ICNP: IEEE International Conference on Network Protocols, 113-122.
Puliafito, and Tomarchio, O. (2000). Using Mobile Agents to Implement Flexible Network Management Strategies. Computer Communication Journal, 23(8), 708-719.
Straub, D.W. and Welke, R.J., (1998). Coping with Systems Risk: Security Planning Models for Management Decision-Making. MIS Quarterly, 22(4), 441-469.
Akinyemi, B.O., Amoo, A.O. and Olajubu, E.A. (2014). An Adaptive Decision-Support Model for Data Communication Network Security Risk Management, International Journal of Computer Applications, 106(8), 1-7.
Kotulic, A.G. and Clark, J.G. (2004). Why There Aren't More Information Security Research Studies. Information management, 41(5).
Akinyemi, B.O., Amoo, A.O. and Aderounmu, G.A. (2015). Performance Prediction Model for Network Security Risk Management. Communications on Applied Electronics, 2(8), 1-7.
Schechter, S. E. (2005). Toward Econometric Models of the Security Risk from Remote Attacks, IEEE Security and Privacy, 3(1), 40–44.
Ahmed, M.S., Al-Shaer, E., L. and Khan. (2008). A Novel Quantitative Approach for Measuring Network Security. Presented at the Proceedings of the 27th IEEE Conference on Computer Communications, 1957-1965.
Saad, W., Alpcan T., Başar T. and Hjørungnes, A. (2010). Coalitional Game Theory for Security Risk Management.
Saleh, Z. I., Refai H. and Mashhour, A. (2011). Proposed Framework for Security Risk Assessment. Journal of Information Security, 2, 85-90.
Stroie, E.R. and Rusu, A.C. (2011) Security Risk Management - Approaches and Methodology. Informatica Economică, 15(1), 228-240.
Liu, F. and Lee, W. (2010). Constructing Enterprise Information Network Security Risk Management Mechanism by Ontology. Tamkang Journal of Science and Engineering. 13(1), 79-87.
Ezell, B.C., Bennett, S.P., Winterfeldt, D., Sokolowski, J. and Collin A.J. (2010). Probabilistic Risk Analysis and Terrorism Risk. Risk Analysis, 30(4), 575-589.
Dantu, R., Kolan, P. and Cangussu J. (2009) Network Risk Management Using Attacker Profiling Security and Communication Networks, 83–96.
Bhattacharya S. and Ghosh, S.K. (2008) A Decision Model based Security Risk Management Approach, Presented at the Proceedings of the International Multi-Conference of Engineers and Computer Scientists, 2, 1194-1199.
Lye, K-W. and Wing, J.M. (2005). Game Strategies in Network Security. International Journal of Information Security 4:71–86.
Maill´E P., Reichl, P. and Tuffin B. (2010) Of Threats and Costs: A Game-Theoretic Approach to Security Risk Management.
Wei-Wei, X. and Hai-Feng, W. (2010) Prediction Model of Network Security Situation Based on Regression Analysis. Presented at the proceeding of the IEEE International Conference on Wireless Communications, Networking and Information Security, 616-619.
Paokanta, P., and Harnpornchai, N. Construction of Bayesian Networks for Risk Assessment of Software Project by Knowledge Engineering. Presented at the 3rd International Conference on Software, Knowledge, Information Management and Applications, 154-158.
Sun, S., Zhang, C. and Yu, G. (2006) A Bayesian Network Approach to Traffic Flow Forecasting. IEEE Transactions on Intelligent Transportation Systems, 7(1), 124-132.
Pollino C.A, Woodberry O., Nicholson A., Korb K. Hart B.T. 2007. Parameterisation and evaluation of a Bayesian network for use in an ecological risk assessment. Environmental Modelling & Software. 22(8): 1140–1152
Xie, P., Li, J.H., Ou, X., Liu, P. and Levy, R. (2010). Using Bayesian Networks for Cyber Security Analysis. Presented at the Proceedings of the 40th IEEE/IFIP International Conference on Dependable Systems and Networks, 211-220.
Bode, M.A., Alese, B.K., Thompson A.F. and Iyare, O. (2014) “A Bayesian Network Model for Risk Management in Cyber Situation. Presented at the proceedings of the World Congress on Engineering and Computer Science.
Kondakci, S. (2010) Network Security Risk Assessment Using Bayesian Belief Networks. Presented at the proceedings of the IEEE International Conference on Social Computing / IEEE International Conference on Privacy, Security, Risk and Trust, 952-960.
Poolsappasit, N., Dewri, R., Ray, I., (2012). Dynamic Security Risk Management Using Bayesian Attack Graphs. IEEE Transactions on Dependable and Secure Computing, 9(1), 61-74.
How to Cite
Authors who submit papers with this journal agree to the following terms.