000			01363nam a22001337a 4500
999			_c65460 _d65457
100			_aRoheen Qamar _a17MSCS18 _aSupervisor Dr. Fareed Ahmed Jokhio
245			_aClassification of ddos attack using artificial neural network
260			_aNawabshah: _bQUEST, _c2019.
300			_a49p
500			_aABSTRACT Distributed Denial of Service (DDoS) attack is one of the well-known threats to any computer or Internet Service. DDoS attack is an attempt to make a network resource or internet unavailable to its intended users. Internet is running on a large numbers servers kept in data centers. When a server or its network is overloaded with users request then the server or networks stop functioning properly and deny service to the genuine requests. As the internet growing we face large amount of cyber-attack. This research work presents the DDoS attack through various angles including we first recognize different kinds of DDoS attacks and then propose a new methodology to develop a Model for detecting the DDoS attacks using Neural Networks. We used three ANN networks and compare them to detect the DDoS attack. Keywords: DDoS Attack, Feed forward Neural Network, Case Case Forward Neural Network, Fitting Neural Network, KDD Cup dataset.
700			_aDepartment of Information Technology
856			_uhttps://tinyurl.com/mr2wpepb
942			_cTHESIS