DISTRIBUTED DENIAL SERVICE ATTACK USING SPLUNK VISUALIZATION

Distributed Denial of Service (DDoS) attack is the most severe cyber-attack that affects the availability of critical applications. The attackers identify the weakness in the machines and compromise them to involve in the flooding attack. During the DDOS attack generation, they also gain access to secret information. These computers are then used to wage a DDoS Attack in host's computer. Through many security measures have been taken in order to stop DDOS Attack to be protect our data, the attackers have developed new techniques and attack methodology. Hence it is very important that instead of reacting to new attacks, it is necessary to build a complete DDoS solution that will defend all types of DDoS attacks. So, the researchers must understand the cyber space and methods utilized to block the DDoS attacks. The proposed system provides a unique method to detect DDoS attack using Splunk. We propose two methods for prevention of DDoS attack. One is using Randomly generated Captchas and other one is using Linux bash script to prevent DDoS attack by automatically blocking IP of the client, who is sending multiple request at a time.