GRAPHS4SEC

In today`s digital age, the rise of cybercrime poses a significant threat to our online security. The GRAPHS4SEC research project aims to revolutionize the way we protect our networks using cutting-edge technology known as Graph Neural Networks (GNNs). Traditional methods of using Artificial Intelligence (AI) and Machine Learning (ML) for network security have fallen short. They struggle to adapt, perform poorly in real-world situations, and are susceptible to cyber-attacks. The primary reason for these limitations is the lack of specialized AI/ML technology designed specifically for network security challenges. At GRAPHS4SEC, the spotlight is on harnessing the potential of GNNs to enhance cybersecurity. These are advanced systems that excel at understanding and learning from interconnected information, perfect for the relational nature of network security data. Imagine them as digital detectives for our online safety. The project has three main goals: Smart AI-powered Cybersecurity Algorithms: we will explore new ways to model and learn from network security data using graph-based approaches. This means creating smart algorithms that understand the complex relationships within cybersecurity information. Understanding the Added Value: the team will compare how well GNN-based approaches perform against traditional AI/ML methods. This involves evaluating detection capabilities, adaptability, scalability, and resilience against cyber threats. It`s like putting the new technology to the test to see if it outperforms the old. Real-World Cybersecurity Applications: the ultimate aim is to apply GRAPHS4SEC technology in real-world scenarios. For that, will focus on four critical areas of cybersecurity, with a special emphasis on the detection and early mitigation of phishing and malicious websites, a pervasive and significant threat that poses widespread harm in today`s digital landscape. In essence, GRAPHS4SEC strives to create a new generation of powerful, resilient, and effective AI-driven cybersecurity tools. By harnessing the unique capabilities of GNNs, the project aims to enhance our ability to safeguard against cyber threats and make the online world a safer place for everyone.