Results 61 to 70 of about 2,777,664 (208)
, 2021 Phishing attacks are the work of social engineering. They are used to trick users to obtain their sensitive/private information using malicious links, websites, and electronic messages.
Ma, Kewei
core
Phishing Website Detection Based on Multidimensional Features Driven by Deep Learning
IEEE Access, 2019 As a crime of employing technical means to steal sensitive information of users, phishing is currently a critical threat facing the Internet, and losses due to phishing are growing steadily.
Peng Yang, Guangzhen Zhao, Peng Zeng
doaj +1 more source
Toward a Persona‐Driven Approach in Cybersecurity: Insights From a Systematic Literature Review
Journal of Software: Evolution and Process, Volume 38, Issue 8, August 2026.ABSTRACT In recent years, developing secure yet usable systems has been one of the top concerns in cybersecurity research and practice. Research indicates that many data breaches and other cybercrimes directed toward exploiting human factors could be prevented by an inclusive and human‐centered cybersecurity design.
Daria Levaniuk +3 more
wiley +1 more source
Criminology, Volume 64, Issue 3, Page 698-733, August 2026.Abstract We investigate how the affordances of an online context shape the processes of social learning. Using a dataset of more than 11,000 posts from the fraud subdread on the dark web forum Dread, we examine how affordances of platform governance, connectivity, anonymity, invisibility, asynchronicity, and limited oversight influence the components ...
Fangzhou Wang, Timothy Dickinson
wiley +1 more source
IEEE AccessWith the rise in cybercrime, phishing remains a significant concern as it targets individuals with fake websites, causing victims to disclose their private information.
Ganesh S. Nayak +2 more
doaj +1 more source
Expert Systems, Volume 43, Issue 8, August 2026.ABSTRACT This systematic review synthesizes evidence from 68 studies, including peer‐reviewed journal articles, indexed conference/workshop proceedings and five remaining arXiv preprints published between 2022 and 2025, on small language models (SLMs) as computationally efficient alternatives to large language models (LLMs).
Sena Dikici, Turgay Tugay Bilgin
wiley +1 more source
Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection
IEEE Open Journal of the Communications SocietyAdvancement of the Internet has increased security risks associated with data protection and online shopping. Several techniques compromise Internet security, including hacking, SQL injection, phishing attacks, and DNS tunneling.
Shakeel Ahmad +6 more
doaj +1 more source
Expert Systems, Volume 43, Issue 8, August 2026.ABSTRACT Improving classification performance on imbalanced datasets remains a challenging problem in machine learning. Synthetic oversampling techniques such as SMOTE are widely used to address class imbalance; however, their random interpolation strategy often ignores structural data properties, which may affect classifier generalisation.
Jose L. Morillo‐Salas +3 more
wiley +1 more source
Phishing – the threat of internet banking [PDF]
, 2013 The attractiveness of Internet banking, the dynamics and the integration with e-business is still growing. The current use of electronic banking is defined by cyberspace and abused in the form of cyber terrorism as well.
Krejčířová, Lívia, Dvořák, Jiří
core +1 more source
Cybersecurity in aquaculture: Risks, governance, and future directions across production systems
Journal of the World Aquaculture Society, Volume 57, Issue 4, August 2026.Abstract Aquaculture is becoming increasingly dependent on connected sensors, remote monitoring, edge and cloud analytics, automation, and digital traceability; however, the cybersecurity evidence base remains fragmented and low‐trophic systems are markedly underrepresented.
Indrek Adler +3 more
wiley +1 more source