A systematic literature review on phishing website detection …
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), different phishing detection approa…
Detecting phishing websites using machine learning …
Existing research works show that the performance of the phishing detection system is limited. There is a demand for an intelligent technique to protect users from the cyber-attacks. In this study, the author …
Phishing URL detection with neural networks: an empirical study
A recent study by Interisle Consulting Group 3 showed a 61% increase in phishing attacks over the period of May 2020 to April 2021, with a 72% increase in reported phishing …
An effective detection approach for phishing websites using URL …
In this paper, we propose a machine learning-based approach which can speedily and precisely detect phishing websites using URL and HTML features of the given webpage.
Phishing Attacks and Detection Techniques: A Systematic Review
The primary aims of this paper include raising awareness about phishing tactics, educating individuals on these attacks, promoting preventative measures against phishing, and fostering …
A Comprehensive Review of Phishing Attack Detection Using …
The rise of machine learning (ML) techniques has provided innovative ways to detect and mitigate phishing attacks. This review paper explores various ML algorithms, …
Phishing Website Detection Using Deep Learning Models
Detecting website phishing is crucial for protecting sensitive information, including personal data and financial details. It helps maintain trust and reputation for both businesses …
Detecting Phishing Domains Using Machine Learning
This paper develops and compares the effectiveness of machine learning (ML) classification models in detecting phishing domains. The goal is to improve detection by using the most accurate model of the four to predict if a …
Phishing website detection: How effective are deep …
In this paper, we presented a systematic solution to detect phishing websites using deep learning algorithms and hyperparameter optimization. Our comparative study pursues the task of developing …
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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), different phishing detection approa…
Existing research works show that the performance of the phishing detection system is limited. There is a demand for an intelligent technique to protect users from the cyber-attacks. In this study, the author …
A recent study by Interisle Consulting Group 3 showed a 61% increase in phishing attacks over the period of May 2020 to April 2021, with a 72% increase in reported phishing …
In this paper, we propose a machine learning-based approach which can speedily and precisely detect phishing websites using URL and HTML features of the given webpage.
The primary aims of this paper include raising awareness about phishing tactics, educating individuals on these attacks, promoting preventative measures against phishing, and fostering …
The rise of machine learning (ML) techniques has provided innovative ways to detect and mitigate phishing attacks. This review paper explores various ML algorithms, …
Detecting website phishing is crucial for protecting sensitive information, including personal data and financial details. It helps maintain trust and reputation for both businesses …
This paper develops and compares the effectiveness of machine learning (ML) classification models in detecting phishing domains. The goal is to improve detection by using the most accurate model of the four to predict if a …
In this paper, we presented a systematic solution to detect phishing websites using deep learning algorithms and hyperparameter optimization. Our comparative study pursues the task of developing …