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This paper presents a new model and sensor framework that offers a favorable balance under this constraint and demonstrates improvement over some existing approaches. Spectrogram is a network situated sensor that dynamically assembles packets to reconstruct content flows and learns to recognize legitimate web-layer script input. It describes an efficient model for this task in the form of a mixture of Markovchains and derive the corresponding training algorithm. Its evaluations show significant detection results on an array of real world web layer attacks, comparing favorably against other AD approaches.
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