An Efficient Approach for Detecting and Preventing DoS/DDoS attack on Web Server
Computer Engineering Department, Government Engineering College, Modasa, India
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.
