• Gourav Tandon

Today many applications utilize WSN for real time detection of event. Even from their earliest applications, sensor networks have been targeted for attack by adversaries with interest in intercepting the data being sent, or in reducing the ability of the network to carry out its mission. There are a lot of possible attacks against WSNs, which have different objectives, are performed at different levels, and result in different consequences. Wireless sensors have limited energy and computational capabilities, making many traditional security methodologies difficult or impossible to be utilized. In this work we describe the security goals and DDOS attack in WSN. There are many techniques available that are used to detect DDOS attack in WSN but they all prevent the attack after that has been completely launched. This leads to the loss of data and resources of sensor node consumed more but these resources are limited. So here we introduced a new scheme that early detect DDOS attack using Hamming distance and cluster formation. It will detect the attack on early stages so that data loss can be prevented and more energy can be reserved after the prevention of attacks. Performance of this scheme has been seen on the basis of packet delivery ratio, no. of packets flooded and remaining energy of the network.

DDOS, Hamming Distance ,Cluster formation

"Detection of denial of service attack using Hamming Distance and cluster Formation ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.170-175, May-2019, Available :http://www.jetir.org/papers/JETIR1905427.pdf

"Detection of denial of service attack using Hamming Distance and cluster Formation ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp170-175, May-2019, Available at : http://www.jetir.org/papers/JETIR1905427.pdf