[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) …
sensitive information from an internet user. In this Systematic Literature Survey (SLR) …
Detecting malicious URLs using machine learning techniques: review and research directions
M Aljabri, HS Altamimi, SA Albelali, M Al-Harbi… - IEEE …, 2022 - ieeexplore.ieee.org
In recent years, the digital world has advanced significantly, particularly on the Internet,
which is critical given that many of our activities are now conducted online. As a result of …
which is critical given that many of our activities are now conducted online. As a result of …
[PDF][PDF] Phishing Attacks in Social Engineering: A Review.
Organisations closed their offices and began working from home online to prevent the
spread of the COVID-19 virus. This shift in work culture coincided with increased online use …
spread of the COVID-19 virus. This shift in work culture coincided with increased online use …
[PDF][PDF] Computer and Information Sciences
A Safi, S Singh - Journal of King Saud University–Computer and …, 2023 - researchgate.net
abstract 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) …
obtain sensitive information from an internet user. In this Systematic Literature Survey (SLR) …
Machine learning and deep learning for phishing page detection
S Patil, M Patil, K Chinnaiah - Research Reports on Computer …, 2023 - ojs.wiserpub.com
The term" phishing" is often used to describe an attempt to obtain confidential data such as
passwords or credit card details by impersonating a trustworthy source. In most cases, the …
passwords or credit card details by impersonating a trustworthy source. In most cases, the …
Enhancing Cybersecurity: Machine Learning Techniques for Phishing URL Detection
S Garnayak, A Kumar, S Sahoo… - 2024 International …, 2024 - ieeexplore.ieee.org
Phishing attacks exploit user vulnerabilities in cybersecurity awareness by tricking them to
fake websites designed to steal confidential data. This study proposes a method for …
fake websites designed to steal confidential data. This study proposes a method for …
Performance Analysis of Machine Learning Classifiers for Detection of Phishing Websites
Phishing is a fraudulent tactic where individuals or organizations impersonate legitimate
entities to deceive internet users into divulging sensitive information. This exploit capitalizes …
entities to deceive internet users into divulging sensitive information. This exploit capitalizes …
Machine Learning based Phishing Website Detection
M Kawale, B Maru, S Dagu… - … on Computing for …, 2024 - ieeexplore.ieee.org
Phishing websites are those where a person can imitate a legitimate website and trick an
innocent user into thinking he is visiting a legitimate website while stealing sensitive …
innocent user into thinking he is visiting a legitimate website while stealing sensitive …
An Effective Phishing Site Prediction using Machine Learning
AR Pandey, T Sharma, S Basnet… - 2022 International …, 2022 - ieeexplore.ieee.org
As the human race is getting advanced with the technology in today's era, the threat to get
damage has also increased. In cyberspace in which we are using the internet and services …
damage has also increased. In cyberspace in which we are using the internet and services …
Enhancing Cybersecurity: A Multilayered Approach to Phishing Website Detection Using Machine Learning
RR Skandarsini, SJ Ida - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
This paper employs machine learning techniques to combat the escalating threat of phishing
attacks in the digital realm. The research builds a predictive model capable of differentiating …
attacks in the digital realm. The research builds a predictive model capable of differentiating …