Detecting DDoS attack using MapReduce operations
Denial of Service (DoS) and Distributed DoS (DDoS) attacks are evolving continuously. These attacks make network resources unavailable for legitimate users which results in massive loss of data, resources and money. Recent distributed denial-of-service (DDoS) attacks have demonstrated horrible destructive power by paralyzing web servers within short time. As the volume of Internet traffic rapidly grows up, the current DDoS detection technologies have met a new challenge that should efficiently deal with a huge amount of traffic within the affordable response time. This work focuses on novel DDoS detection method based on Hadoop that implements a HTTP GET flooding detection algorithm in MapReduce on the distributed computing platform.
Keywords: DDoS Attack, HTTP Flooding Attack, MapReduce, Apache Hadoop.
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ISSN 2411-1031 (Print), ISSN 2518-1033 (Online)