[HTML][HTML] A systematic literature review on phishing website detection techniques

A Safi, S Singh - Journal of King Saud University-Computer and …, 2023 - Elsevier
Phishing is a fraud attempt in which an attacker acts as a trusted person or entity to obtain
sensitive information from an internet user. In this Systematic Literature Survey (SLR) …

A survey of machine learning-based solutions for phishing website detection

L Tang, QH Mahmoud - Machine Learning and Knowledge Extraction, 2021 - mdpi.com
With the development of the Internet, network security has aroused people's attention. It can
be said that a secure network environment is a basis for the rapid and sound development of …

Phishing website detection with semantic features based on machine learning classifiers: a comparative study

A Almomani, M Alauthman, MT Shatnawi… - … Journal on Semantic …, 2022 - igi-global.com
The phishing attack is one of the main cybersecurity threats in web phishing and spear
phishing. Phishing websites continue to be a problem. One of the main contributions to our …

Analysis of the performance impact of fine-tuned machine learning model for phishing URL detection

SR Abdul Samad, S Balasubaramanian, AS Al-Kaabi… - Electronics, 2023 - mdpi.com
Phishing leverages people's tendency to share personal information online. Phishing
attacks often begin with an email and can be used for a variety of purposes. The …

Detecting phishing domains using machine learning

S Alnemari, M Alshammari - Applied Sciences, 2023 - mdpi.com
Phishing is an online threat where an attacker impersonates an authentic and trustworthy
organization to obtain sensitive information from a victim. One example of such is trolling …

Modeling hybrid feature-based phishing websites detection using machine learning techniques

S Das Guptta, KT Shahriar, H Alqahtani… - Annals of Data …, 2024 - Springer
In this paper, we mainly present a machine learning based approach to detect real-time
phishing websites by taking into account URL and hyperlink based hybrid features to …

Machine learning to predict the production of bio-oil, biogas, and biochar by pyrolysis of biomass: a review

K Khandelwal, S Nanda, AK Dalai - Environmental Chemistry Letters, 2024 - Springer
The world energy consumption has increased by+ 195% since 1970 with more than 80% of
the energy mix originating from fossil fuels, thus leading to pollution and global warming …

An effective and secure mechanism for phishing attacks using a machine learning approach

G Mohamed, J Visumathi, M Mahdal, J Anand… - Processes, 2022 - mdpi.com
Phishing is one of the biggest crimes in the world and involves the theft of the user's
sensitive data. Usually, phishing websites target individuals' websites, organizations, sites …

[PDF][PDF] Online Attacks Types of Data Breach and CyberAttack Prevention Methods

MA Baballe, A Hussaini, MI Bello… - Current Trends in …, 2022 - academia.edu
Phishing attacks are a common tactic used by cybercriminals to lure unsuspecting users into
providing their private information. The need to look for and develop methods of detecting …

MOE/RF: a novel phishing detection model based on revised multiobjective evolution optimization algorithm and random forest

E Zhu, Z Chen, J Cui, H Zhong - IEEE Transactions on Network …, 2022 - ieeexplore.ieee.org
To effectively boost computer usage, machine learning models are used in several phishing
detection systems to classify enormous phishing datasets. Based on phishing patterns …