• Amarjeet kaur
• Er. Jashanpreet kaur

The DoS attack strategy is depend on sending many harmful packets to the victim system or device this cause overloaded and resource consuming . The DDoS strategy is depends on start generating as many packets as they can toward the victim. Systems used to detect DDoS attacks are considered as a type of Network Intrusion Detection Systems (NIDs). The latter employ two distinct approaches to detect malicious activities: signature-based detection and anomaly-based detection. In the recent decade, many anomaly-based detection methods were proposed to identify DDoS attacks from network traffic. Basically, these detection methods can be classified into two categories: off-line DDoS mining and on-line DDoS detection. Off-line DDoS mining usually try to find attacks by analyzing the main characteristics of feature distributions of the network traffic with some systematic methods, such as PCA (Principal Component Analysis) ) and dominate states analysis. An important such perspective in terms of detecting DoS attacks is to view the problem as that of a classification problem on network state (and not on individual packets or other units) by modelling normal and attack traffic and classifying the current state of the network as good or bad, thereby detecting attacks when they happen. To propose DDOS Attack Detection On Cloud Environment Genetic algorithm and fuzzy estimator method on wireless sensor network with DARPA2000, CAIDA2007 and CADIA2008 dataset. In this work 94% accuracy is achieved on DARPA dataset with the help of Fuzzy logic classifier.

DDOS, Attacks, NID, cloud, network , dataset etc.

"DDOS ATTACK DETECTION ON CLOUD ENVIRONMENT GENATIC ALGORITHM AND FUSSY ESTIMATOR METHOD ON WIRELESS SENSOR NETWORK WITH DARPA2000 AND CADIA2008 DATASET", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.245-252, July-2018, Available :http://www.jetir.org/papers/JETIR1807284.pdf

"DDOS ATTACK DETECTION ON CLOUD ENVIRONMENT GENATIC ALGORITHM AND FUSSY ESTIMATOR METHOD ON WIRELESS SENSOR NETWORK WITH DARPA2000 AND CADIA2008 DATASET", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp245-252, July-2018, Available at : http://www.jetir.org/papers/JETIR1807284.pdf