TrafficGPT: Breaking the Token Barrier for Efficient Long Traffic Analysis and Generation

arXiv:2403.05822v1 Announce Type: new
Abstract: Over the years, network traffic analysis and generation have advanced significantly. From traditional statistical methods, the field has progressed to sophisticated deep learning techniques. This progress has improved the ability to detect complex patterns and security threats, as well as to test and optimize network performance. However, obstacles persist, such as the dependence on labeled data for analysis and the difficulty of generating traffic samples that follow realistic patterns. Pre-trained deep neural networks have emerged …

abstract advanced analysis arxiv breaking cs.lg deep learning deep learning techniques network patterns progress security statistical test threats token traffic traffic analysis type