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Survey on network protocol reverse engineering approaches, methods and tools.

, , , , , and . APNOMS, page 271-274. IEEE, (2017)

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The Method of Seed Based Grouping Malicious Traffic by Deep-Learning., , , and . ICTC, page 701-705. IEEE, (2018)Fine-grained traffic classification based on functional separation., , , , and . Int. J. Netw. Manag., 23 (5): 350-381 (2013)A survey on blockchain cybersecurity vulnerabilities and possible countermeasures., , , , and . Int. J. Netw. Manag., (2019)Towards automated application signature generation for traffic identification., , , and . NOMS, page 160-167. IEEE, (2008)Classification of application traffic using tensorflow machine learning., , , and . APNOMS, page 391-394. IEEE, (2017)Sky-Scope : Skype application traffic identification system., , , , and . APNOMS, page 259-262. IEEE, (2017)Fault Detection and Diagnosis in IP-Based Mission Critical Industrial Process Control Networks., , , , , , and . IEEE Communications Magazine, 46 (5): 172-180 (2008)A novel blockchain-enabled heart disease prediction mechanism using machine learning., , , , and . Comput. Electr. Eng., (2022)Performance Improvement of Traffic Classification Based on Application Traffic Locality., , , , and . J. Inf. Sci. Eng., 32 (5): 1241-1259 (2016)User Behavior Detection Using Multi-Modal Signatures of Encrypted Network Traffic., , , and . IEEE Access, (2023)