Malicious data classification in packet data network through hybrid meta deep learning

Malicious data classification in packet data network through hybrid meta deep learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2023.

Bibliographische Detailangaben
Hauptverfasser:	Tapu, Sakib Uddin, Alam Shopnil, Samira Afrin, Tamanna, Rabeya Bosri
Weitere Verfasser:	Alam, Md. Golam Rabiul
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2023
Schlagworte:	Reinforcement learning A2C PPO Meta-learning Few-shot-learning Siamese-network Prototypical-network Intrusion-detection Malicious-data-classification CSE-CIC-IDS2017 CSE-CIC-IDS2018 System safety. Machine learning
Online Zugang:	http://hdl.handle.net/10361/19352

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