Abstract
To achieve better detection performance, we enhance the FS detector from Chap. 2 to develop an adaptive detector with the Markov decision process (MDP). In particular, we adaptively make decisions on how aggressively the detector value should be updated in each step. Then based on a reward function defined by us, we are able to determine an optimal decision policy to maximize the overall system benefit through a linear programming formulation. The optimal policy also indicates the operation of the adaptive detector, which yields better performance in both false positive rate and detection delay. Both theoretical analysis and simulation results are provided to demonstrate the performance of the adaptive detector.
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Notes
- 1.
An observation window is defined as a certain number of consecutive successful transmissions over the whole network [17].
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Tang, J., Cheng, Y. (2013). Adaptive Misbehavior Detection in IEEE 802.11TM Based on Markov Decision Process. In: Intrusion Detection for IP-Based Multimedia Communications over Wireless Networks. SpringerBriefs in Computer Science. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8996-2_3
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DOI: https://doi.org/10.1007/978-1-4614-8996-2_3
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