Analysis of malware prediction based on infection rate using machine learning techniques
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.
Huvudupphovsmän: | Zawad, Safir, Mansur, Raiyan, Evan, Nahian, Asad, Ashub Bin |
---|---|
Övriga upphovsmän: | Hossain, Muhammad Iqbal |
Materialtyp: | Lärdomsprov |
Språk: | en_US |
Publicerad: |
Brac University
2020
|
Ämnen: | |
Länkar: | http://hdl.handle.net/10361/14056 |
Liknande verk
-
Malware detection in blockchain using CNN
av: Alam, Afreen, et al.
Publicerad: (2021) -
A study of malware classification using deep learning
av: Rahman, Mohammad Muhibur, et al.
Publicerad: (2024) -
ShielDroid: a hybrid ML and DL approach for real-time malware detection system in Android
av: Ahmed, Md Faisal, et al.
Publicerad: (2021) -
Malware Detection Using Neural Network
av: Kayum, Syed Irfan, et al.
Publicerad: (2021) -
Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
av: Islam, Roman, et al.
Publicerad: (2024)