We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Design of Efficient Phishing Detection Model using Machine Learning.
- Authors
Bong-Hyun Kim
- Abstract
Recently, there have been cases of phishing attempts to steal personal information through fake sites disguised as major sites. Although phishing attacks continue and increase, countermeasures remain in the form of defense after identifying the attack. Therefore, in this paper, we designed a phishing detection model using machine learning that provides knowledge and prediction by learning patterns from data input to a computer. For this, an analysis model was built using sklearn logistic regression, and the phishing probability was visualized using a heatmap. In addition, a graph was used to visually indicate the result, and a function for attribute information of a phishing website was provided.
- Subjects
MACHINE learning; PHISHING
- Publication
Technical Journal / Tehnički Glasnik, 2024, Vol 18, Issue 1, p37
- ISSN
1846-6168
- Publication type
Article
- DOI
10.31803/tg-20230219213151