Detection of DDOS Attack in Cloud Computing Environment using Artificial Neural Network Sherwin Kati 1 , Abhishek Ove 2 , Bhavana Gotipamul 3 , Mayur Kodche 4 Swati Jaiswal 5 1,2,3,4 Department of Computer Engineering Pimpri Chinchwad College of Engineering Pune, India 1 sherwinkanth@gmail.com 2 abhishekove@gmail.com@gmail.com 3 bhavanagotipamul@gmail.com 4 kodchemayur@gmail.com 5 swati.jaiswal@pccoepune.org Abstract: In today's era, cloud computing usage is continuously increasing and along with it the security vulnerabilities also increase. Cloud computing is affected by many types of attacks like account hijacking, data breaches, malicious insiders, human error, etc. Out of these various attacks, we are primarily focusing on DDoS (Denial-of-service) attacks. The major security issue for a cloud system is DDoS attacks. By sending huge amounts of unusual traffic, the DDoS attack corrupts the resources and makes them inaccessible. DDoS attacks are designed to drain resources like main memory, CPU refining and processing space, and network frequency, making them inaccessible to the customers by denying access to services. It's difficult to identify the difference between the attacker's requests and legitimate user requests in cloud systems at all stages, especially when the latter comes from a huge number of geographically dispersed workstations. The main benefit of cloud computing is that it can scale up and down to meet varied needs, and it provides a sufficient environment that can scale up and down as needed, therefore it requires exceptional security against DDoS attacks to handle the negative effects of DDoS attacks. Distributed DoS attacks are classified as fundamental attacks that compromise the system's accessibility. These attacks have become more polished and continue to evolve at a rapid rate, making it harder to recognise and stop them. In this project, we developed an artificial neural network (ANN) algorithm that uses a machine learning technique to train a model that can detect DDoS attacks more accurately than traditional methods. Keywords: DDoS, Cloud Computing, ANN, Detection, Defence, Security I. Introduction: Cloud computing is a paradigm that is based on a worldwide internet-based network that consists of a huge number of servers that are typically open-source, modular, and inexpensive. Clouds store massive amounts of data and cover a huge variety of services to large categories of individuals. The advantages of cloud computing