Performance analysis of machine learning algorithms for Malware classification

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Detalhes bibliográficos
Main Authors:	Bushra, Raisa Hasan, Alam, Md Taukir, Saha, Aniruddho, Fahim, Nazmus Sakib, Binty, Nabila Mourium
Outros Autores:	Chakrabarty, Amitabha
Formato:	Thesis
Idioma:	English
Publicado em:	Brac University 2023
Assuntos:	Machine learning Trojan Adware Ransomware Classification Malware Zero-day Naïve Bayes Stochastic gradient descent Random forest Decision tree AdaBoost XGBoost Logistic regression Multi-layer perceptron K- nearest neighbour Support vector machine Regression analysis Computer algorithms
Acesso em linha:	http://hdl.handle.net/10361/21825

http://hdl.handle.net/10361/21825

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