• rathika

On the real network environment, DDOS attacks causes network corruption or whole network failure. In order to safeguard the network from failure, DDOS attack detection and prevention has to be performed. In the earlier work, DDOS attack detection and prevention is performed by bringing-in the method known as Feature Learning based DDOS Attack Detection (FL-DDOS-AD), its primary target is to identify the existence of the DDOS attack on the network perfectly. Nevertheless, the current work may be disgraced in its execution, because of rupture in transmission of data. And also current work fail to identify the DDOS attack, if there occur the non-constant variance among the packets that are transmitted. So, it is rectified in the proposed by bringing-in the method called Burst Transmission aware DDOS Attack Detection (BT-DDOSAD) method. Its primary target is to bring-in the new research techniques, which can identify the existence of DDOS attack in the network perfectly. So, different algorithms have to be established for accurate detection outcome. Along with the timing serious values (such as type of protocols, TTL values, geo-location of reflective IPs, etc.), burst time instances also has to be assumed in our work. In the suggested work, an enhanced box Cox transformation is enforced to execute the preprocessing to make data set cleaner for normal effective processing. In the NS2 simulation environment,the implementation of the presented research technique is done, which confirms that the recommended work assures the optimal performance whiledifferentiated with the present research techniques.

DDOS attack detection, Burst transmission of data, Packet normalization, and Non constant variance

"ACCURATE AND FAST DETECTION OF DDOS ATTACK PRESENCE BASED ON BURST TIME INSTANCES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.587-602, April-2019, Available :http://www.jetir.org/papers/JETIR1904E88.pdf

"ACCURATE AND FAST DETECTION OF DDOS ATTACK PRESENCE BASED ON BURST TIME INSTANCES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp587-602, April-2019, Available at : http://www.jetir.org/papers/JETIR1904E88.pdf