The PAACNet research group focuses on providing models and tools that help understand complex patterns and identify anomalies in a wide range of domains, including cybersecurity, cloud computing, distributed systems, and IoT networks. By leveraging advanced data analytics, machine learning, and statistical modeling, PAACNet research endeavors thrive to detect irregularities that could indicate potential threats, inefficiencies, or system failures. The group emphasizes understanding the implicit behaviors and interactions within complex systems, enabling proactive measures to enhance system reliability, security, and performance....More