Security Policy Management Process within Six Sigma Framework
Vijay Anand, Jafar Saniie, Erdal Oruklu
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DOI: 10.4236/jis.2012.31006   PDF    HTML     6,906 Downloads   13,717 Views   Citations

Abstract

This paper presents a management process for creating adaptive, real-time security policies within the Six Sigma (6σ) framework. A key challenge for the creation of a management process is the integration with models of known Industrial processes. One of the most used industrial process models is Six Sigma which is a business management model wherein customer centric needs are put in perspective with business data to create an efficient system. The security policy creation and management process proposed in this paper is based on the Six Sigma model and presents a method to adapt security goals and risk management of a computing service. By formalizing a security policy management process within an industrial process model, the adaptability of this model to existing industrial tools is seamless and offers a clear risk based policy decision framework. In particular, this paper presents the necessary tools and procedures to map Six Sigma DMAIC (Define-Measure-Analyze-Improve-Control) methodology to security policy management.

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V. Anand, J. Saniie and E. Oruklu, "Security Policy Management Process within Six Sigma Framework," Journal of Information Security, Vol. 3 No. 1, 2012, pp. 49-58. doi: 10.4236/jis.2012.31006.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] F. B. Schneider, “Enforceable Security Policies,” ACM Transactions on Information and System Security, Vol. 3, No. 1, 2000, pp. 30-50. doi:10.1145/353323.353382
[2] Six Sigma Motorola University, 2011. http://web.archive.org/web/20051106012600/http://www.motorola.com/motorolauniversity.
[3] J. Rees, S. Bandyopadhyay and E. H. Spafford, “PFIRES: A Policy Framework for Information Security,” Communications of the ACM, Vol. 46, No. 7, 2003, pp. 101-106. doi:10.1145/792704.792706
[4] K. J. Knapp, R. F. Morris Jr., T. E. Marshall and T. A. Byrd, “Information Security Policy: An Organizational-Level Process Model”, Computers and Security, Vol. 28, No. 7, 2009, pp. 493-508. doi:10.1016/j.cose.2009.07.001
[5] W. Scacchi, “Process Models in Software Engineering,” Encyclopedia of Software Engineering, 2nd Edition, John Wiley and Sons, Inc., New York, 2001.
[6] R. Shankar, “Process Improvement Using Six Sigma: A DMAIC Guide,” ASQ Quality Press, Milwaukee, 2009.
[7] D. N. Card, “Myths and Strategies of Defect Causal Analysis”, Proceedings of Pacific Northwest Software Quality Conference, Portland, 18-19 October 2006.
[8] G. Zanin and L. V.Mancini, “Towards a Formal Model for Security Policies Specification and Validation in the SELinux System,” Proceedings of the Ninth ACM Symposium on Access Control Models and Technologies (ACMAT’04), New York, 2-4 June 2004, pp. 136-145.
[9] S. Preda, F. Cuppens, N. Cuppens-Boulahia, J. G. Alfaro, L. Toutain and Y. Elrakaiby, “Semantic Context Aware Security Policy Deployment,” Proceedings of the 4th International Symposium on Information, Computer, and Communications Security (ASIACCS’09), Sydney, 10-12 March 2009, pp. 251-261.
[10] D. Xu and K. E. Nygard, “Threat-Driven Modeling and Verification of Secure Software Using Aspect-Oriented Petri Nets,” IEEE Transactions on Software Engineering, Vol. 32, No. 4, 2006, pp. 265-278. doi:10.1109/TSE.2006.40
[11] “A Complete Guide to the Common Vulnerability Scoring System Version 2.0.,” 2011. http://www.first.org/cvss/cvss-guide.html.
[12] “CMLA Service Provider Agreement,” 2011. http://www.cm-la.com/documents/CMLA%20Service%20Provider%20Agreement%20V1.42%2020110712%20final.pdf.
[13] PostgreSQL, 2011. http://www.postgresql.org/
[14] V. E. Sower, R. Quarles and E. Broussard, “Cost of Quality Usage and Its Relationship to Quality System Maturity,” International Journal of Quality & Reliability Management, Vol. 24, No. 2, 2007, pp. 121-140. doi:10.1108/02656710710722257
[15] M. Lazzaroni, “A Tool for Quality Controls in Industrial Process,” IEEE Instrumentation and Measurement Technology Conference, Suntec City, 3-6 March 2009. doi:10.1109/IMTC.2009.5168418
[16] H. De Koning and J. De Mast, “ASQ: The CTQ Flowdown as a Conceptual Model of Project Objectives,” Quality Management Journal, Vol. 14, No. 2, 2007, pp. 19-28.
[17] L. Grunske, R. Colvin and K. Winter, “Probabilistic Model-Checking Support for FMEA,” 4th International Conference on the Quantitative Evaluation of Systems (QEST 2007), Edinburgh, 16-19 September 2007, pp. 119-128.
[18] National Vulnerability Database (NVD), 2011. http://nvd.nist.gov/home.cfm
[19] H. P. Barringer, “Process Reliability and Six Sigma,” National Manufacturing Week Conference, Chicago, 13-16 March 2000.
[20] C. Hsieh, B. Lin and Bill Manduca, “Information Technology and Six Sigma Implementation,” Journal of Computer Information Systems, Vol. 47, No. 4, 2007, pp. 1-10.
[21] A. Takanen, J. DeMott and C.Miller, “Fuzzing for Software Security Testing and Quality Assurance,” 1st Edition, Artech House, London, 2008.
[22] “The ANOVA Procedure, SAS/STAT(R) 9.2 User’s Guide,” 2nd Edition, 2011. http://support.sas.com/documentation/cdl/en/statuganova/61771/PDF/default/statuganova.pdf
[23] M. Tanco, E. Viles, L. Ilzarbe and M. álvarez, “Manufacturing Industries Need Design of Experiments (DoE),” Proceedings of the World Congress on Engineering (WCE 2007), London, Vol. 2, 2-4 July 2007.
[24] D. M. Ferrin, M. J. Miller and D. Muthler, “Six Sigma and Simulation, So What’s the Correlation,” Proceedings of the 2002 Winter Simulation Conference, 8-11 December 2002, pp. 1439-1443.
[25] M. J. McDonald, “Quality Prediction and Mistake Proofing,” Technical Report, Sandia National Laboratories, Washington, DC, 1998. doi:10.2172/650152

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