Results 51 to 60 of about 1,135 (168)
Criminology, EarlyView.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
“I Paid A Bribe”—Lessons and Insights From Crowdsourced Corruption Reporting in India
Regulation &Governance, EarlyView.ABSTRACT Preventing and reducing corruption has proven to be an enormous challenge. An important step in this process is to produce and use good metrics to identify where anti‐corruption resources would be most beneficial. Most measures of corruption, however, rely on surveys of perceptions or bribery incidence.
Ina Kubbe +2 more
wiley +1 more source
Generating Pattern‐Based Datasets for Cyber Attack Detection Using Machine‐Learning Techniques
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 2, June 2026.The aim of this work is to review the state of the art in the design, generation, and labeling of attack pattern datasets for training of detection systems based on machine learning. ABSTRACT This work aims to review the state of the art in the design, generation, and labeling of attack pattern datasets for the training of detection systems based on ...
Pedro Díaz García +4 more
wiley +1 more source
Canadian Public Administration, Volume 69, Issue 2, Page 290-320, June 2026.Abstract This research examined the relationship between digital competency and perceived organizational support among Nova Scotia public servants and MPA students. Findings revealed a non‐linear developmental progression where reliance on external validation systematically diminished as expertise matures.
Warwick Young, Kristian Suen
wiley +1 more source
Journal of Consumer Affairs, Volume 60, Issue 2, Summer 2026.ABSTRACT According to the Federal Trade Commission, consumers lost $12.8 billion to fraud in 2024, with actual losses estimated to be as high as $196 billion. Research on financial fraud knowledge is scant, limiting development of effective protection tools.
Duygu Başaran Şahin +6 more
wiley +1 more source
Vox Sanguinis, Volume 121, Issue 4, Page 441-452, April 2026.Abstract Transfusion medicine generates enormous volumes of data across the vein‐to‐vein continuum, spanning donor characteristics, laboratory testing, component manufacturing, logistics and recipient outcomes. The emergence of big data infrastructures, coupled with artificial intelligence (AI), offers a transformative opportunity to harness this ...
Sheharyar Raza +6 more
wiley +1 more source
Exploiting Vision Transformer and Ensemble Learning for Advanced Malware Classification
Engineering Reports, Volume 8, Issue 1, January 2026.Overview of the proposed RF–ViT ensemble for multi‐class malware classification. Textual (BoW/byte‐frequency) and visual representations are combined via a product rule, achieving improved accuracy and robustness over individual models. ABSTRACT Malware remains a significant concern for modern digital systems, increasing the need for reliable and ...
Fadi Makarem +4 more
wiley +1 more source
Phishing URL Detection and Interpretability With Machine Learning: A Cross‐Dataset Approach
SECURITY AND PRIVACY, Volume 9, Issue 1, January/February 2026.ABSTRACT Phishing attacks pose a significant security threat, particularly through deceptive emails designed to trick users into clicking on malicious links, with phishing URLs often serving as the primary indicator of such attacks. This paper presents a machine learning approach for detecting phishing email attacks by analyzing the URLs embedded ...
Liyan Yi +2 more
wiley +1 more source
Robustness Analysis of Distributed CNN Model Training in Expression Recognition
IET Biometrics, Volume 2026, Issue 1, 2026.Facial expression recognition is vital in pattern recognition and affective computing. With the advancement of deep learning, its performance has improved, yet challenges remain in nonlaboratory environments due to occlusion, poor lighting, and varying head poses.
Jun Li, Jun Wan
wiley +1 more source
Cipher‐Guard: A Machine Learning Model for Adaptive and Context‐Aware Password Security
IET Information Security, Volume 2026, Issue 1, 2026.This research aims to enhance password security by designing, training and testing Cipher‐Guard, a machine learning (ML) algorithm that incorporates complex features and techniques derived from proven feature engineering. The current model is inherently built on the equations of mathematical modelling concerning complexity metrics of passwords and ...
Mohammed Naif Alatawi, Xueqin Liang
wiley +1 more source