Prediction and prevention of malicious URL using ML and LR techniques for network security: machine learning

S Mythreya, ASD Murthy, K Saikumar… - Handbook of Research …, 2022 - igi-global.com
Understandable URLs are utilized to recognize billions of websites hosted over the present-
day internet. Opposition who tries to get illegal admittance to the classified data may use …

Phishing website detection using xgboost and catboost classifiers

K Sadaf - 2023 International Conference on Smart Computing …, 2023 - ieeexplore.ieee.org
Malicious websites infecting users' devices has become a common phenomenon. Users
seldom pay attention to the URL details and ultimately fall prey to these websites, which …

Demystifying Hypothyroidism Detection with Extreme Gradient Boosting and Explainable AI

AKMS Hosain, MGR Alam - 2022 25th International Conference …, 2022 - ieeexplore.ieee.org
Hypothyroidism is a prevalent disease of thyroid glands in human. Thyroid is an endocrine
gland in vertebrates known to control physiological metabolism by producing few specific …

[PDF][PDF] Detecting Cloud Based Phishing Attacks Using Stacking Ensemble Machine Learning Technique

MR Chinguwo, R Dhanalakshmi - … for Research in Applied Science & …, 2023 - academia.edu
Cloud computing enables users to access computing services over the Internet, but this also
presents a security risk due to the anonymous nature of the Internet. Social engineering …

CatBoost's Role in Advanced Phishing Detection

KT REDDY - insights2techinfo.com
This article explores the use of CatBoost in phishing detection, a powerful gradient
enhancing algorithm that focuses on the use of categorical data. As phishing attacks have …