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University of texas at dallas |
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Department of computer science |

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Mohammad mehedy masud |
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Refereed Journals
Masud, M. M., Khan, L. & Thuraisingham, B. A Scalable Multi-level Feature Extraction Technique to Detect Malicious Executables. To Appear in the Journal of Information System Frontiers, 2008.
Masud, M. M., Khan, L. & Thuraisingham, B. Efficient Auto-Detection of Novel Email Worms using Feature based Techniques. To Appear in the International Journal of Information Security and Privacy, 2007.
Masud, M. M. & Rahman, C. M. Extending the Knowledge Intensive Genetic Algorithm Based Supervised Concept Learner to Adopt Continuous Attributes. Journal of Electrical Engineering, The Institute of Engineers, Bangladesh, pp. 33-38 Vol. EE29, No.1, June 2001.
Refereed Conferences
2008
Masud, M. M., Khan, L, Thuraisingham, B., Wang, X., Liu, P., and Zhu, S. A Data Mining Technique to Detect Remote Exploits. In Proceedings of the Fourth Annual IFIP WG 11.9 International Conference on Digital Forensics. Japan, January 27-30, 2008.
2007
Masud, M. M., Khan, L. & Thuraisingham, B. Feature based Techniques for Auto-detection of Novel Email Worms. In Proceedings of the eleventh Pacific-Asia Conference on Knowledge Discovery in Data Mining (PAKDD), Nanjing, China, 22-25 May, 2007. LNAI 4426/2007, pp. 205-216.
Masud, M. M., Khan, L. & Thuraisingham, B. A Hybrid Model to Detect Malicious Executables. To appear in the IEEE International Conference on Communications (ICC), Computer and Communications Network Security Symposium, 2007.
2006
Masud, M. M., Khan, L. & Thuraisingham, B. A Knowledge-based Approach to detect new Malicious Executables. In Proceedings of the Second Secure Knowledge Management Workshop (SKM) 2006, Brooklyn, NY, USA, Sep 28-29.
Masud, M. M., Khan, L. & Thuraisingham, B. Email Worm Detection using Naïve Bayes and Support Vector Machine. In Proceedings of the IEEE International Conference on Intelligence and Security Informatics, ISI 2006, San Diego, CA, USA, May 23-24, 2006. LNCS 3975/2006, pp. 733-734
2004
Ali, M.A., Masud, M. M. & Rahman, C. M. Implementation of ID3 Algorithm by Coverage Vector. In Proceedings of the Seventh International Conference on Computers and Information Technology (ICCIT 2004), 26-28 December, Dhaka, Bangladesh, pp.93-97.
Masud, M.M. Combined Evolution Model: Integrating Machine Learning, Simulated Annealing and Evolutionary Computing. In Proceedings of the 5th International Conference on Recent Advances in Soft Computing (RASC2004), 16-18 December, Nottingham, U.K, pp. 428-435.
Masud, M. M., Islam, M. M. & Murase, K. Empirical Study On Learnable Evolution Model For P-Median and Capacitated P-Median Problems. In Proceedings of the Fourth International Symposium on Human and Artificial Intelligence Systems: From Control to Autonomy (HART2004), 5-6 December, Fukui, Japan, pp. 265-270.
2003
Masud, M. M. & Rahman, C. M. Application of Minimum Description Length Principle to Genetic Algorithm based Concept Learner. In Proceedings of the Sixth International Conference on Computers and Information Technology (ICCIT 2003). Dhaka, Bangladesh, 19-21 December 2003, Vol. 1. pp. 47-52
2001
Masud, M. M. & Rahman, C. M. Extending the Knowledge Intensive Genetic Algorithm Based Supervised Concept Learner to Adopt Continuous Attributes. In Proceedings of the Fourth International Conference on Computer and Information Technology (ICCIT 2001), Dhaka, Bangladesh, 28-29 December 2001, pp.348-353.
Mashnad, M. and Masud, M. M. Simulation of the Stochastic Response of Offshore Platform to Wave Forces. Computer Methods and Advances in Geomechanics, Balkema Publishers, Desai et al. edited, pp.1319-1323.
2000
Mashnad, M. & Masud, M. M. Simulation of Stochastic Response of Offshore Structures Excited by Stationary Drag and Inertia Forces. In DeRoeck, G. and Topping, B.H.V. (eds.) Computational Civil and Structural Engineering, pp. 11-16. Edinburgh, UK: Civil-Comp Press, 2000.
Presentations
Masud, M. M. & Mashnad, M. Simulation of the Response of Offshore Structures to Wave Forces. Poster Presentation at the 8th International Conference on Computing in Civil and Building Engineering. Stanford University, CA, USA., 2000
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