{'fraction_non_alphanumeric': 0.015723270440251572, 'fraction_numerical': 0.0, 'mean_word_length': 5.066666666666666, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Formal methods to improve the identification and validation of network traffic

Internet traffic identification and validation has been the subject of intensive study for many years. It is used to provide Quality of Service, to provide security and to implement many other tasks. The reliability of these methods, however, is not proved by formal verification. Therefore, the results of these methods can vary from the lab where these methods were developed and their deployment in real world application. In this paper, we present an idea to overcome this problem in order to guarantee reliability and provide more optimised solutions.