An Efficient Approach for Detecting and Preventing DoS/DDoS attack on Web Server

Authors

  • Chirag D. Patel Computer Engineering Department, Government Engineering College, Modasa
  • Chirag A. Patel Computer Engineering Department, Government Engineering College, Modasa

Keywords:

IDS, kdd dataset, Naïve bayes , threshold base algorithm, captcha

Abstract

in today’s world the growth of Internet is increase tremendously. With the increase in internet more
number of people connects to internet, so more number of chances of attacks is also happen. To defend various kind
of attack is challenging task in current internet. Out of many attack DoS/DDoS attack are perform measure role to
slow down the internet (Web Server). User does not get resources at right time. Users have to wait for resources. Many
techniques are introduced like machine learning, artificial intelligence base technique to defend this attack. In this
paper we focus on naïve bayes data mining classification with the use of KDD Dataset for detection of DoS/DDoS
attack. We also develop threshold base mechanism with the use of CAPTCHA technique to prevent the web server
after detecting DoS/DDoS attack.

Published

2016-12-31

How to Cite

Chirag D. Patel, & Chirag A. Patel. (2016). An Efficient Approach for Detecting and Preventing DoS/DDoS attack on Web Server. International Journal of Advance Research in Engineering, Science & Technology, 3(13), -. Retrieved from https://ijarest.com/index.php/ijarest/article/view/2141