Comparative study of machine learning algorithms in website phishing detection
Harmful programs that are created to thieve user credentials have become a lot over the recent years, potentially leading to a loss of cash. The methods which are utilized by attackers to collect confidential information vary, when online banking systems continue to be the main goal of these attacks...
Saved in:
Main Author: | Kalybayev, Almukhammed |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/35828/5/AlmukhammedKalbayevMFSKSM2013.pdf http://eprints.utm.my/id/eprint/35828/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:70363?site_name=Restricted Repository |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Classification of phishing websites using machine learning techniques
by: Zamani, Hadi
Published: (2013) -
Anti-phishing model for phishing websites detection: using pruning decision tree
by: M. Abunadi, Ahmed I.
Published: (2013) -
Real time detection of phishing websites
by: Ahmed, Abdulghani Ali, et al.
Published: (2016) -
Comparative performance of machine learning methods for classification on phishing attack detection
by: Siti Noranisah, Wan Ahmad, et al.
Published: (2020) -
Detection of phishing websites using machine learning approaches
by: Farashazillah Yahya, et al.
Published: (2021)