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Some of the hardest to mitigate Distributed Denial of Service attacks (DDoS) are ones targeting the application layer. Over the time, researchers proposed many solutions to prevent Distributed Denial of Service attacks (DDoS) from IP and TCP layers instead of the application layer. New application Layer based DDoS attacks utilizing legitimate HTTP requests to overwhelm victim resources are more undetectable. This may be more serious when such attacks mimic or occur during the flash crowd event of the website. This paper present a new application layer anomaly detection and filtering based on Web user browsing behavior for create defense against Distributed Denial of Service Attack (DDoS).
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