Performance analysis of machine learning algorithms for Malware classification

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.

Détails bibliographiques
Auteurs principaux: Bushra, Raisa Hasan, Alam, Md Taukir, Saha, Aniruddho, Fahim, Nazmus Sakib, Binty, Nabila Mourium
Autres auteurs: Chakrabarty, Amitabha
Format: Thèse
Langue:English
Publié: Brac University 2023
Sujets:
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
Accès en ligne:http://hdl.handle.net/10361/21825

Internet

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

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