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 …

A review of computer vision methods in network security

J Zhao, R Masood, S Seneviratne - … Communications Surveys & …, 2021 - ieeexplore.ieee.org
Network security has become an area of significant importance more than ever as
highlighted by the eye-opening numbers of data breaches, attacks on critical infrastructure …

Phishing URL detection: A real-case scenario through login URLs

M Sánchez-Paniagua, EF Fernández, E Alegre… - IEEE …, 2022 - ieeexplore.ieee.org
Phishing is a social engineering cyberattack where criminals deceive users to obtain their
credentials through a login form that submits the data to a malicious server. In this paper, we …

Fuzzy rough set feature selection to enhance phishing attack detection

M Zabihimayvan, D Doran - 2019 IEEE international …, 2019 - ieeexplore.ieee.org
Phishing as one of the most well-known cybercrime activities is a deception of online users
to steal their personal or confidential information by impersonating a legitimate website …

[HTML][HTML] Phishing websites detection using a novel multipurpose dataset and web technologies features

M Sánchez-Paniagua, E Fidalgo, E Alegre… - Expert Systems with …, 2022 - Elsevier
Phishing attacks are one of the most challenging social engineering cyberattacks due to the
large amount of entities involved in online transactions and services. In these attacks …

Combining long-term recurrent convolutional and graph convolutional networks to detect phishing sites using URL and HTML

S Ariyadasa, S Fernando, S Fernando - IEEE Access, 2022 - ieeexplore.ieee.org
Phishing, a well-known cyber-attack practice has gained significant research attention in the
cyber-security domain for the last two decades due to its dynamic attacking strategies …

[HTML][HTML] The applicability of a hybrid framework for automated phishing detection

RJ van Geest, G Cascavilla, J Hulstijn, N Zannone - Computers & Security, 2024 - Elsevier
Phishing attacks are a critical and escalating cybersecurity threat in the modern digital
landscape. As cybercriminals continually adapt their techniques, automated phishing …

Phishing web page detection using N-gram features extracted from URLs

M Korkmaz, E Kocyigit, OK Sahingoz… - 2021 3rd International …, 2021 - ieeexplore.ieee.org
Recently, cyber-attacks have increased worldwide, especially during the pandemic period.
The number of connected devices in the world and the anonymous structure of the internet …

[PDF][PDF] Detecting phishing attacks using a combined model of LSTM and CNN

S Ariyadasa, S Fernando, S Fernando - Int. J. Adv. Appl. Sci, 2020 - researchgate.net
Phishing, a social engineering crime which has been existing for more than two decades,
has gained significant research attention to find better solutions to face against the very …

It Doesn't Look Like Anything to Me: Using Diffusion Model to Subvert Visual Phishing Detectors

Q Hao, N Diwan, Y Yuan, G Apruzzese… - 33rd USENIX Security …, 2024 - usenix.org
Visual phishing detectors rely on website logos as the invariant identity indicator to detect
phishing websites that mimic a target brand's website. Despite their promising performance …