Phishing detection using machine learning techniques

U Nishitha, R Kandimalla… - 2023 3rd Asian …, 2023 - ieeexplore.ieee.org
As there are many cyber-attacks that are going on in this world phishing is one of the most
important cyberattack phishing attacks starts with fake messages which contain dangerous …

Application of Natural Language Processing for Phishing Detection Using Machine and Deep Learning Models

A Villanueva, C Atibagos, J De Guzman… - … Conference on ICT …, 2022 - ieeexplore.ieee.org
Phishing scams are internet frauds that target people by sending them harmful links. Many
victims ranging from individuals to big companies, have suffered numerous losses due to …

A Comparative Study on the Performance of Machine learning Algorithms for Malware Detection and Classification

P Lavanya, PB Pati, U Kumaran - 2024 IEEE 9th International …, 2024 - ieeexplore.ieee.org
From cloud computing to the Internet of Things, there are several applications and
frameworks that are susceptible to cyber-attacks. To safeguard critical systems and …

Vision GNN Based Phishing Website Detection

JM Lindamulage, L MandiraPabasari… - … and Smart Electrical …, 2023 - ieeexplore.ieee.org
Phishing, which is a common cyber threat, exploits human vulnerabilities by impersonating
legitimate entities to deceive users into sharing sensitive information. Traditional methods of …

[图书][B] Machine Learning for Malicious URL Classification: A Temporal Analysis

EN Wehr - 2024 - search.proquest.com
Abstract When Machine Learning (ML) is applied to labelled datasets, it is standard practice
that 70% of the dataset is used for training models, with 30% used for testing. That approach …