Network Traffic

Network traffic analysis focuses on understanding and interpreting the flow of data across networks, aiming to improve network security, performance, and management. Current research emphasizes the application of advanced machine learning models, including deep learning architectures like LSTMs, CNNs, Transformers, and Graph Neural Networks, along with techniques like transfer learning and data augmentation to address challenges like limited data and encrypted traffic. These advancements are crucial for enhancing cybersecurity (e.g., detecting botnets and ransomware), optimizing network resource allocation, and improving the efficiency of network monitoring and management in diverse settings, from small ISPs to large-scale urban networks.