01363nam a22001337a 4500 65460 65457 Roheen Qamar 17MSCS18 Supervisor Dr. Fareed Ahmed Jokhio Classification of ddos attack using artificial neural network Nawabshah: QUEST, 2019. 49p ABSTRACT 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. Department of Information Technology https://tinyurl.com/mr2wpepb THESIS 0 0 0 0 RESEARCH RESEARCH 2019-09-27 0 MP/46-526 2019-09-27 00:00:00 THESIS 0 0 0 0 RESEARCH RESEARCH 2023-12-18 0 MP/55-697 2023-12-18 00:00:00 2023-12-18 THESIS