International Journal of Scientific Engineering and Technology
  • Year: 2016
  • Volume: 5
  • Issue: 9

Hybrid Machine Learning Algorithm for Predicting Distributed Denial of Service Attacks

  • Author:
  • Carine Umunyana, Kipruto W Cheruiyot, Michael Kimwele
  • Total Page Count: 5
  • Page Number: 433 to 437

Computing Department, Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62000–00200, Nairobi, Kenya

*umucarin@gmail.com

Online published on 6 March, 2017.

Abstract

A distributed denial-of-service (DDoS) attack is one in which a multitude of compromised systems attack a single target. The flood of incoming messages to the target system essentially forces it to shut down. Two machine learning algorithms are used (Adaboost and Random forest) to detect DDoS attacks.

Keywords

Distributed denial of Service (DDoS) Attacks, Adaboost, Random forest, Hybrid machine learning algorithms