I recently worked on a side project of anomaly detection of Malicious HTTP Requests by training only on Benign Samples - with the idea of making a firewall robust against zero day exploits, It involved working onA NLP architecture to learn the semantics and structure of a safe HTTP Request and differ it from malicious requestsRe Training the Model on incoming safe data to improve perfomanceDomain Generalization across websites not in the test data.What are the adjacent research areas/papers i can work upon and explore to improve this project ?and what is the current SOTA of this field ?