An Assessment of Lexical, Network, and Content‐Based Features for Detecting Malicious URLs Using Machine Learning and Deep Learning Models

M Aljabri, F Alhaidari, RMA Mohammad… - Computational …, 2022 - Wiley Online Library
The World Wide Web services are essential in our daily lives and are available to
communities through Uniform Resource Locator (URL). Attackers utilize such means of …

Contextual security awareness: A context-based approach for assessing the security awareness of users

A Solomon, M Michaelshvili, R Bitton, B Shapira… - Knowledge-Based …, 2022 - Elsevier
Assessing the information security awareness (ISA) of users is crucial for protecting systems
and organizations from social engineering attacks. Current methods do not consider the …

Machine learning & concept drift based approach for malicious website detection

S Singhal, U Chawla, R Shorey - … International Conference on …, 2020 - ieeexplore.ieee.org
The rampant increase in the number of available cyber attack vectors and the frequency of
cyber attacks necessitates the implementation of robust cybersecurity systems. Malicious …

[HTML][HTML] Malicious and benign webpages dataset

AK Singh - Data in brief, 2020 - Elsevier
Web Security is a challenging task amidst ever rising threats on the Internet. With billions of
websites active on Internet, and hackers evolving newer techniques to trap web users …

A comprehensive systematic review of neural networks and their impact on the detection of malicious websites in network users

J Gamboa-Cruzado, J Briceño-Ochoa… - 2023 - repositorio.autonoma.edu.pe
The large branches of Machine Learning represent an immense support for the detection of
malicious websites, they can predict whether a URL is malicious or benign, leaving aside …

Malicious website identification using design attribute learning

O Naim, D Cohen, I Ben-Gal - International Journal of Information Security, 2023 - Springer
Malicious websites pose a challenging cybersecurity threat. Traditional tools for detecting
malicious websites rely heavily on industry-specific domain knowledge, are maintained by …

A novel approach to detect, analyze and block adversarial web pages

MR Kumar, DA Naik, N Kapila, CR Mohan… - International Journal of …, 2024 - Springer
The phenomenon of distraction is very common, and its adverse effects are seen among
people. The major cause underlying this issue is the ease with which adversarial web sites …

LSTM RNN: detecting exploit kits using redirection chain sequences

J Burgess, P O'Kane, S Sezer, D Carlin - Cybersecurity, 2021 - Springer
While consumers use the web to perform routine activities, they are under the constant threat
of attack from malicious websites. Even when visiting 'trusted'sites, there is always a risk that …

Detection of malicious websites using symbolic classifier

N Anđelić, S Baressi Šegota, I Lorencin, M Glučina - Future Internet, 2022 - mdpi.com
Malicious websites are web locations that attempt to install malware, which is the general
term for anything that will cause problems in computer operation, gather confidential …

Classification of malicious and benign websites by network features using supervised machine learning algorithms

S Kaddoura - 2021 5th Cyber Security in Networking …, 2021 - ieeexplore.ieee.org
Due to the increase in Internet usage through the past years, cyber-attacks have rapidly
increased, leading to high personal information and financial loss. Cyberattacks can include …