Abstract—The Intrusion Detection System (IDS) is one of the most important network security systems. In this paper a new method is used to design off-line intrusion detection system, Simulink Image Block Matching and Embedded Matlab Function are used in the designing. The used method is very simple and efficient. The Image Block Matching is used for pattern matching and the Embedded Matlab Function is used for giving the decision. Three types of attacks are used in this paper (R2L, DoS and U2R). The result shows that the IBM can give a high detection and classification rate in average equal to 94.9 percent based on NSL KDD recorders

Index Terms—Intrusion detection system, anomaly, artificial neural network, image block matching.

Abdullah A. Mohamed is with the Communication Department, Collages of Electronics Engineering-Mosul university-Iraq (e-mail: Abdullah.4Mohamed@Gmail.com).
Dia M. Ali is with College of Elec. Engg., Ninawa University, Ninawa, Iraq (e-mail: dia_ mohanad@yahoo.com).

Cite:Abdullah A. Mohamed and Dia M. Ali, "Designing of Intrusion Detection System Based on Image Block Matching," International Journal of Computer and Communication Engineering vol. 2, no. 5, pp. 605-607, 2013.