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

Online

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

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