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.

Bibliografiska uppgifter
Huvudupphovsmän:	Bushra, Raisa Hasan, Alam, Md Taukir, Saha, Aniruddho, Fahim, Nazmus Sakib, Binty, Nabila Mourium
Övriga upphovsmän:	Chakrabarty, Amitabha
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2023
Ämnen:	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
Länkar:	http://hdl.handle.net/10361/21825

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