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.

Detalles Bibliográficos
Autores principales: Tapu, Sakib Uddin, Alam Shopnil, Samira Afrin, Tamanna, Rabeya Bosri
Otros Autores: Alam, Md. Golam Rabiul
Formato: Tesis
Lenguaje:English
Publicado: Brac University 2023
Materias:
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
Acceso en línea:http://hdl.handle.net/10361/19352

Internet

http://hdl.handle.net/10361/19352

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