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.

Библиографические подробности
Главные авторы:	Bushra, Raisa Hasan, Alam, Md Taukir, Saha, Aniruddho, Fahim, Nazmus Sakib, Binty, Nabila Mourium
Другие авторы:	Chakrabarty, Amitabha
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2023
Предметы:	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
Online-ссылка:	http://hdl.handle.net/10361/21825

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

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