Research Article

Designing Fuzzy Rule Based Expert System for Cyber Security

Volume: 1 Number: 1 April 10, 2012
EN

Designing Fuzzy Rule Based Expert System for Cyber Security

Abstract

The state of cyber security has begun to attract more attention and interest outside the community of computer security experts. Cyber security is not a single problem, but rather a group of highly different problems involving different sets of threats. Fuzzy Rule based system for cyber security is a system consists of a rule depository and a mechanism for accessing and running the rules. The depository is usually constructed with a collection of related rule sets. The aim of this study is to develop a fuzzy rule based technical indicator for cyber security with the use of expert system. Rule based systems employ fuzzy rule to automate complex processes. Common cyber threats assumed for cyber experts are used as linguistic variables in this paper.

Keywords

References

  1. R. Chandia, J. Gonzalez, T. Kilpatrick, M. Papa, S. Shenoi, “Security strategies for SCADA networks,” in: Proceeding of the First Annual IFIP Working Group 11.10 International Conference on Critical Infrastructure Protection, Hampshire, USA, Mar. 19-21, 2007. College, Hanover, New
  2. N. Fovino, M. Masera, “Through the description of attacks: a multidimensional view”, in: Proceeding of the 25th International Conference on Computer Safety, Reliability and Security, Gdansk, Poland, Sep. 26-29, 2006.
  3. R. Shanmugavadivu, “Network Intrusion Detection System Using Fuzzy Logic”, Indian Journal of Computer Science and Engineering (IJCSE), vol.2, 1, pp. 101-111, 2011.
  4. S. M. Bridges, and R. B.Vaughn, “Fuzzy Data Mining And Detection”, In Proceedings of the National Information Systems Security Conference (NISSC), Baltimore, MD, 2000, pp.16-19. Applied to Intrusion
  5. J.T. Yao, S.L. Zhao, and L.V. Saxton, “A Study On Fuzzy Intrusion Detection”, In Proceedings of the Data Mining, Intrusion Detection, Information Assurance, And Data Networks Security, SPIE, Vol. 5812, Orlando, Florida, USA, 2005, pp. 23-30.
  6. S. Mukkamala, G. Janoski, A. Sung, “Intrusion detection: support vector networks.” In: Proceedings of the IEEE International Joint Conference on Neural Networks (ANNIE), St. Louis, MO, 2002, pp. 1702-1707. neural
  7. Y. Yu, and H. Hao, “An Ensemble Approach to Intrusion Detection Based on Improved Multi-Objective Genetic Algorithm”, Journal of Software, Vol.18, No.6, pp.1369-1378, June 2007.
  8. J. Cannady, “Artificial Neural Networks for Misuse Detection”, in Proceedings of the ’98 National Information System Security Conference (NISSC’98), 1998, pp. 443-456.

Details

Primary Language

English

Subjects

Applied Mathematics

Journal Section

Research Article

Publication Date

April 10, 2012

Submission Date

January 30, 2016

Acceptance Date

-

Published in Issue

Year 2012 Volume: 1 Number: 1

APA
Goztepe, K. (2012). Designing Fuzzy Rule Based Expert System for Cyber Security. International Journal of Information Security Science, 1(1), 13-19. https://izlik.org/JA37FR38GH
AMA
1.Goztepe K. Designing Fuzzy Rule Based Expert System for Cyber Security. IJISS. 2012;1(1):13-19. https://izlik.org/JA37FR38GH
Chicago
Goztepe, Kerim. 2012. “Designing Fuzzy Rule Based Expert System for Cyber Security”. International Journal of Information Security Science 1 (1): 13-19. https://izlik.org/JA37FR38GH.
EndNote
Goztepe K (April 1, 2012) Designing Fuzzy Rule Based Expert System for Cyber Security. International Journal of Information Security Science 1 1 13–19.
IEEE
[1]K. Goztepe, “Designing Fuzzy Rule Based Expert System for Cyber Security”, IJISS, vol. 1, no. 1, pp. 13–19, Apr. 2012, [Online]. Available: https://izlik.org/JA37FR38GH
ISNAD
Goztepe, Kerim. “Designing Fuzzy Rule Based Expert System for Cyber Security”. International Journal of Information Security Science 1/1 (April 1, 2012): 13-19. https://izlik.org/JA37FR38GH.
JAMA
1.Goztepe K. Designing Fuzzy Rule Based Expert System for Cyber Security. IJISS. 2012;1:13–19.
MLA
Goztepe, Kerim. “Designing Fuzzy Rule Based Expert System for Cyber Security”. International Journal of Information Security Science, vol. 1, no. 1, Apr. 2012, pp. 13-19, https://izlik.org/JA37FR38GH.
Vancouver
1.Kerim Goztepe. Designing Fuzzy Rule Based Expert System for Cyber Security. IJISS [Internet]. 2012 Apr. 1;1(1):13-9. Available from: https://izlik.org/JA37FR38GH