Phishing Website URL's Detection Using NLP and Machine Learning Techniques

DS Kuraku, D Kalla - Journal on Artificial Intelligence-Tech Science, 2023 - papers.ssrn.com
Phishing websites present a severe cybersecurity risk since they can lead to financial
losses, data breaches, and user privacy violations. This study uses machine learning …

Phishing website detection based on machine learning: A survey

C Singh - 2020 6th International Conference on Advanced …, 2020 - ieeexplore.ieee.org
Phishing attacks are cybercrime in today's world which are done by social engineering and
malware based. It is one of the most dangerous threats that every individuals and …

[PDF][PDF] Penerapan metode stacking dan random forest untuk meningkatkan kinerja klasifikasi pada proses deteksi web phishing

AF Nugraha, RFA Aziza… - Jurnal Infomedia …, 2022 - pdfs.semanticscholar.org
Ketidakseimbangan kelas seringkali menjadi hal yang diabaikan terutama oleh para peneliti
di bidang data mining dan machine learning. padahal dengan melakukan penanganan …

Employing cluster-based class decomposition approach to detect phishing websites using machine learning classifiers

Y Al-Tamimi, M Shkoukani - International Journal of Data …, 2023 - m.growingscience.com
Phishing is an attack by cybercriminals to obtain sensitive information such as account IDs,
usernames, and passwords through the use of the anonymous structure of the Internet …

Prediction of phishing sites in network using naive bayes compared over random forest with improved accuracy

P Yaswanth, V Nagaraju - 2023 Eighth International …, 2023 - ieeexplore.ieee.org
The main aim of this research article is to improve the accuracy rate in efficient Novel
prediction of phishing sites in the network by using Naive Bayes (NB) in comparison with …

Machine learning approach for identifying suspicious uniform resource locators (URLs) on Reddit social network

NA Azeez, AO Lawal, S Misra… - African Journal of Science …, 2022 - journals.co.za
The applications and advantages of the Internet for real-time information sharing can never
be over-emphasized. These great benefits are too numerous to mention but they are being …

Classification of phishing websites using machine learning models

S Raminedi, TN Pandey, VA Woonna… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Phishing attacks have become increasingly and it is a serious threat to security of the user
information. It targets unsuspecting individuals through deceptive websites that appear to be …

[PDF][PDF] Detection of malicioius content using AI

Y Pingle, SN Bhatkar, S Patil - Proc. 7th Int. Conf. Computing Sustain …, 2020 - bvicam.in
Internet is phishing. Personal files or any business-related information will be at risk if a user
gets attack by such actions. These attacks are getting increased day by day. Some attack is …

Review of the effectiveness of machine learning based phishing prevention systems

KS Jishnu, B Arthi - AIP Conference Proceedings, 2023 - pubs.aip.org
We depend on the internet for our daily activities and transactions because of its usability.
But as a result of the growth in internet usage, cyber crimes are also on the rise. Phishing is …

Detection of Cross-Site Scripting and Phishing Website Vulnerabilities Using Machine Learning

J Charu, S Sunil, C Aarti - Advanced Smart Computing …, 2021 - taylorfrancis.com
Dynamic web pages are widely used by web applications to provide a better user
experience and to attract more web users. The web applications use client-side and server …