Published Paper Details:

Abstract Cyber attacks are getting more common these days with all the digital stuff growing so fast, networks everywhere, and services online all the time. It is kind of scary how they can mess up organizations, steal data, or just cause big problems for security. For this project, we built a system that monitors and analyses cyber attacks in real time, and we hooked it up with Power BI to make the visuals and analytics better. Since real cyber security data is super sensitive and not easy to get because of restrictions, I had to make a synthetic dataset instead. That way, it simulates real scenarios like DDoS attacks, SQL injection, cross-site scripting, brute force stuff, and port scanning. It feels realistic enough to test things out without actual risks. The dashboard uses HTML, CSS, and JavaScript, so it is interactive, and it simulates attacks dynamically. Then, the data gets processed and goes into Power BI for more advanced stuff. Dashboards there show trends, how severe attacks are, frequency, all that. It helps spot high-risk sources or vulnerable spots, and patterns that keep coming back. Some people might think real-time is enough, but mixing it with historical analytics makes it stronger for decisions. The system is meant to scale up if needed, run efficiently, and teach people about attacks. Cyber security analysts, students like me, researchers, they can use it to study behaviors, get aware of situations, and make better choices. Overall, it shows visualization and BI tools together can really help understand threats, even in a simulated setup.