School of Computer and Communication, Lanzhou University of Technology/Lanzhou 730050, China

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Abstract—In order to enhance efficiency of intrusion detection in the Mobile Ad hoc NETwork (MANET), an intrusion prediction method based on intelligent immune threshold matching algorithm was presented. Using a dynamic load-balancing algorithm, wireless network data packet was distributed to a set of analysis subsystem by the balance subsystem; it could avoid packet loss and false negatives in high-performance wireless network with handling heavy traffic loads in real-time. In addition, adopting the dynamic threshold value, which was generated from variable network speed, the mature antibody could better match the antigen of the database subsystem, and consequently the accuracy of detection was increased. Experiment shows this intrusion detection method has relatively low false positive rate and false negative rate, so it effectively resolves the shortage of intrusion detection in MANET.

Index Terms—Mobile Ad hoc NETwork (MANET), intrusion detection, false alarm rate, false negative rate, intelligent immune threshold matching algorithm.

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Cite: Lai-Cheng Cao, Sheng Dong, Wei Han, "Enhancing Efficiency of Intrusion Detection Based on Intelligent Immune Method in MANET," Journal of Computers vol. 9, no. 7, pp. 1577-1581, 2014.