Sheng-Ya Lin

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— It is a major challenge for a detection algorithm to maintain high detection probability and low false alarms simultaneously. In this paper, we propose an adaptive CUSUM algorithm (A C S) to robustly detect an anomaly, which is defined as system behavior that deviates from its expected values. By embedding a sliding model control (SMC) controller into a(More)
We propose a <i>Progressive Email Classifier</i> (PEC) for high-speed classification of message patterns that are commonly associated with unsolicited bulk email (UNBE). PEC is designed to operate at the network access point, the ingress between the Internet Service Provider (ISP) and the enterprise network; so that a surge of UNBE containing fresh patterns(More)
Resource depletion is a universal indicator of Distributed Denial of Service (DDoS) attacks. In this paper, we propose a ratio based control algorithm for detection and throttling of DDoS attacks. We use the sliding mode control (SMC) control theory to formulate and optimize the traffic control conditions for DDoS defense. A cluster-based control model is(More)
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