N-gram feature extraction and Naïve Bayes classifier for malware detection using FPGA implementation
Nowadays malicious software, or commonly known as malwares, play a very critical role in almost every network intrusion attack that attempts to harm the connected devices. Thus, installing malware detection systems to protect the network environment has become even more imperative. Naïve Bayes class...
Saved in:
Main Author: | Lee, Ming Yi |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2022
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/99512/1/LeeMingYiMSKE2022.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hardware implementation of naive bayes classifier for malware detection
by: Al Hussein, Yahya Khaled
Published: (2021) -
FPGA implementation of naive bayes classifier for network security
by: Mohamad Zuki, Ahmad Zulzhafri
Published: (2018) -
Classification of imbalanced datasets using naive bayes
by: Mohd. Sobran, Nur Maisarah
Published: (2011) -
A hybrid method of feature extraction and Naive Bayes classification for splitting identifiers
by: Alanee, Nahla
Published: (2016) -
Activity recognition using smart phone acceleroeter with naive Bayes classifier for emergency cases /
by: Siti Aisyah binti Ismail
Published: (2016)