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 …
which is critical given that many of our activities are now conducted online. As a result of …
SoK: a comprehensive reexamination of phishing research from the security perspective
Phishing and spear phishing are typical examples of masquerade attacks since trust is built
up through impersonation for the attack to succeed. Given the prevalence of these attacks …
up through impersonation for the attack to succeed. Given the prevalence of these attacks …
Malicious URL detection using machine learning: A survey
Malicious URL, aka malicious website, is a common and serious threat to cybersecurity.
Malicious URLs host unsolicited content (spam, phishing, drive-by exploits, etc.) and lure …
Malicious URLs host unsolicited content (spam, phishing, drive-by exploits, etc.) and lure …
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 …
Social network security: Issues, challenges, threats, and solutions
Social networks are very popular in today's world. Millions of people use various forms of
social networks as they allow individuals to connect with friends and family, and share …
social networks as they allow individuals to connect with friends and family, and share …
Malicious accounts: Dark of the social networks
Over the last few years, online social networks (OSNs), such as Facebook, Twitter and
Tuenti, have experienced exponential growth in both profile registrations and social …
Tuenti, have experienced exponential growth in both profile registrations and social …
Heuristic nonlinear regression strategy for detecting phishing websites
M Babagoli, MP Aghababa, V Solouk - Soft Computing, 2019 - Springer
In this paper, we propose a method of phishing website detection that utilizes a meta-
heuristic-based nonlinear regression algorithm together with a feature selection approach …
heuristic-based nonlinear regression algorithm together with a feature selection approach …
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 …
Adopting automated whitelist approach for detecting phishing attacks
Phishing is considered a great scourge in cyberspace. Presently, there are two major
challenges known with the existing anti-phishing solutions. Low detection rate and lack of …
challenges known with the existing anti-phishing solutions. Low detection rate and lack of …
Applications of social network analysis to managing the investigation of suspicious activities in social media platforms
Social media networks have grown rapidly as a key platform for communicating and sharing
information. Millions of users are actively accessing its features and making connections …
information. Millions of users are actively accessing its features and making connections …