@article{Holovin_2015, title={Detecting DDoS attack using MapReduce operations}, volume={3}, url={https://its.iszzi.kpi.ua/article/view/60892}, DOI={10.20535/2411-1031.2015.3.2.60892}, abstractNote={<p align="justify">Denial of Service (<em>DoS</em>) and Distributed DoS (<em>DDoS</em>) 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 (<em>DDoS</em>) attacks have demonstrated horrible destructive power by paralyzing web servers within short time. As the volume of Internet traffic rapidly grows up, the current <em>DDoS</em> 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 <em>DDoS</em> detection method based on <em>Hadoop</em> that implements a <em>HTTP GET</em> flooding detection algorithm in <em>MapReduce</em> on the distributed computing platform.<br /><br /><strong>Keywords: </strong>DDoS Attack, HTTP Flooding Attack, MapReduce, Apache Hadoop.</p>}, number={2}, journal={Collection "Information Technology and Security"}, author={Holovin, Andrii}, year={2015}, month={Dec.}, pages={117–124} }