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An Assessment of Lexical, Network, and Content‐Based Features for Detecting Malicious URLs Using Machine Learning and Deep Learning Models
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 …
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
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 …
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 …
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 …
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 websites, they can predict whether a URL is malicious or benign, leaving aside …
Malicious website identification using design attribute learning
Malicious websites pose a challenging cybersecurity threat. Traditional tools for detecting
malicious websites rely heavily on industry-specific domain knowledge, are maintained by …
malicious websites rely heavily on industry-specific domain knowledge, are maintained by …
A novel approach to detect, analyze and block adversarial web pages
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 …
people. The major cause underlying this issue is the ease with which adversarial web sites …
LSTM RNN: detecting exploit kits using redirection chain sequences
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 …
of attack from malicious websites. Even when visiting 'trusted'sites, there is always a risk that …
Detection of malicious websites using symbolic classifier
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 …
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 …
increased, leading to high personal information and financial loss. Cyberattacks can include …