Detection and Classification of Distributed Denial of Service (DDoS) Attack
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 1
Abstract
On line services are on a rapid upward push in today’s internet global. Web servers, which host these online services, are the prime targets for the hackers to perform Distributed Denial of Service (DDoS) attacks. Attackers release DDoS assaults on net servers in order to disrupt the offerings or to eat the network bandwidth. This makes legitimate users unable to access the web resources at times. DDoS attack compromise the availability of the service by means of utilizing the energy of thousands and thousands of zombies (compromised computers) below the manipulate of the bot masters. DDoS attacks existed since mid 1980’s and they are still the top most web security threat. Hence, mitigation of DDoS attacks is becoming very important. The distributed and dynamic nature of the DDoS attacks makes it more difficult to mitigate. In order to mitigate the DDoS attacks, several techniques have been proposed in the past by various researchers. However, most of the project research were focusing either on Application Layer or Network Layer and are mostly providing single layer of defense. In such scenario, hackers and attacker are taking advantage of the weakness of these mitigation techniques to launch the DDoS attack. In this research work, I will focus to implement Enhanced Support Vector Machine as well as to improve the accuracy of it.
Authors and Affiliations
Rida Anwar, Shruti Gorasia
Keywords
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