Urldeepdetect: A deep learning approach for detecting malicious urls using semantic vector models
Abstract Malicious Uniform Resource Locators (URLs) embedded in emails or Twitter posts
have been used as weapons for luring susceptible Internet users into executing malicious …
have been used as weapons for luring susceptible Internet users into executing malicious …
[PDF][PDF] Towards Detecting and Classifying Malicious URLs Using Deep Learning.
C Johnson, B Khadka, RB Basnet… - J. Wirel. Mob. Networks …, 2020 - academia.edu
Abstract Emails containing Uniform Resource Locators (URLs) pose substantial risks to
organizations by potentially compromising both credentials and network security through …
organizations by potentially compromising both credentials and network security through …
URLNet: Learning a URL representation with deep learning for malicious URL detection
Malicious URLs host unsolicited content and are used to perpetrate cybercrimes. It is
imperative to detect them in a timely manner. Traditionally, this is done through the usage of …
imperative to detect them in a timely manner. Traditionally, this is done through the usage of …
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 …
Deep belief network based detection and categorization of malicious URLs
SG Selvaganapathy, M Nivaashini… - … Security Journal: A …, 2018 - Taylor & Francis
The Internet, web consumers and computing systems have become more vulnerable to
cyber-attacks. Malicious uniform resource locator (URL) is a prominent cyber-attack broadly …
cyber-attacks. Malicious uniform resource locator (URL) is a prominent cyber-attack broadly …
DURLD: Malicious URL detection using deep learning-based character level representations
S Srinivasan, R Vinayakumar, A Arunachalam… - Malware analysis using …, 2021 - Springer
Cybercriminals widely use Malicious URL, aka malicious website as a primary mechanism
to host unsolicited content, such as spam, malicious advertisements, phishing, and drive-by …
to host unsolicited content, such as spam, malicious advertisements, phishing, and drive-by …
[HTML][HTML] A novel approach for malicious URL detection based on the joint model
JT Yuan, YP Liu, L Yu - Security and Communication Networks, 2021 - hindawi.com
The number of malicious websites is increasing yearly, and many companies and
individuals worldwide have suffered losses. Therefore, the detection of malicious websites is …
individuals worldwide have suffered losses. Therefore, the detection of malicious websites is …
Using lexical features for malicious URL detection--a machine learning approach
A Joshi, L Lloyd, P Westin, S Seethapathy - arXiv preprint arXiv …, 2019 - arxiv.org
Malicious websites are responsible for a majority of the cyber-attacks and scams today.
Malicious URLs are delivered to unsuspecting users via email, text messages, pop-ups or …
Malicious URLs are delivered to unsuspecting users via email, text messages, pop-ups or …
[PDF][PDF] Malicious URL detection based on machine learning
Currently, the risk of network information insecurity is increasing rapidly in number and level
of danger. The methods mostly used by hackers today is to attack end-toend technology and …
of danger. The methods mostly used by hackers today is to attack end-toend technology and …
An adversarial attack analysis on malicious advertisement url detection framework
E Nowroozi, M Mohammadi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Malicious advertisement URLs pose a security risk since they are the source of cyber-
attacks, and the need to address this issue is growing in both industry and academia …
attacks, and the need to address this issue is growing in both industry and academia …