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The increasingly deployed IEEE 802.11 Wireless LANs (WLANs) challenge traditional network management systems because of the shared open medium and the varying channel conditions. There needs to be an automated tool that can help diagnosing both malicious security faults and benign performance faults. It is often difficult, however, to identify the root causes since the manifesting anomalies from network measurements are highly interrelated. This paper presents a novel approach, called MOdel-based self-DIagnosis (MODI), for fault detection and localization. The solution consists of Structural and Behavioral Model (SBM) that is constructed using both structural causality from wireless protocol specifications and behavioral statistics from network measurements.
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