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.
Auteurs principaux: | Tapu, Sakib Uddin, Alam Shopnil, Samira Afrin, Tamanna, Rabeya Bosri |
---|---|
Autres auteurs: | Alam, Md. Golam Rabiul |
Format: | Thèse |
Langue: | English |
Publié: |
Brac University
2023
|
Sujets: | |
Accès en ligne: | http://hdl.handle.net/10361/19352 |
Documents similaires
-
Prediction of genetic mutation from clinical data of sickle cell disease using few-shot siamese bidirectional LSTM and federated learning
par: Alam, Salman, et autres
Publié: (2023) -
A convolutional neural network based model with improved activation function and optimizer for effective intrusion detection and classification
par: Kabir, Solaiman, et autres
Publié: (2021) -
Comprehensive fingerprint recognition utilizing one shot learning with Siamese Network
par: Zaman, Sara Milham, et autres
Publié: (2023) -
Analyzing CV/resume using natural language processing and machine learning
par: Reza, Md. Tanzim, et autres
Publié: (2018) -
Visualization of security vulnerabilities through intrusion detection system
par: Ahmed, Ibrar, et autres
Publié: (2010)