Results 61 to 70 of about 28,445 (242)

A Literature Survey on Potential Private User Information Leakage in Metaverse Applications

Advanced Intelligent Systems, Volume 8, Issue 1, January 2026.
This survey explores potential privacy risks in the Metaverse, focusing on personal data inferred from virtual reality headsets embedded with passive brain‐computer interfaces (BCI). It reviews how age, gender, and ethnicity can be predicted using neurophysiological signals, (e.g., electroencephalogram). The survey also explores future threats from non‐
Mina Jaberi, Tiago H. Falk
wiley   +1 more source

Explainable AI With Imbalanced Learning Strategies for Blockchain Transaction Fraud Detection

Engineering Reports, Volume 8, Issue 1, January 2026.
Research methodology pipeline for blockchain fraud detection. ABSTRACT Blockchain networks now support billions of dollars in daily transactions, making reliable and transparent fraud detection essential for maintaining user trust and financial stability.
Ahmed Abbas Jasim Al‐Hchaimi, M. A. Khalifa, Walid El‐Shafai   +2 more
wiley   +1 more source

DeltaPhish: Detecting Phishing Webpages in Compromised Websites

, 2017
The large-scale deployment of modern phishing attacks relies on the automatic exploitation of vulnerable websites in the wild, to maximize profit while hindering attack traceability, detection and blacklisting.
AY Fu, B Biggio, C Cortes, C Ludl, DH Wolpert, G Chechik, G Xiang, G Xiang, J Hong, KT Chen, L Wenyin, M Khonji, MJ Swain, PF Felzenszwalb, RB Basnet, S Marchal, TC Chen, TC Chen   +17 more
core   +1 more source

Mobile Device Users’ Susceptibility to Phishing Attacks

International Journal of Computer Science and Information Technology, 2022
The mobile device is one of the fasted growing technologies that is widely used in a diversifying sector. Mobile devices are used for everyday life, such as personal information exchange – chatting, email, shopping, and mobile banking, contributing to information security threats. Users' behavior can influence information security threats.
openaire   +2 more sources

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, Rida El Chall, Abed Ellatif Samhat, Khouloud Samrouth, Nader Bakir   +4 more
wiley   +1 more source

Heuristic machine learning approaches for identifying phishing threats across web and email platforms

Frontiers in Artificial Intelligence
Life has become more comfortable in the era of advanced technology in this cutthroat competitive world. However, there are also emerging harmful technologies that pose a threat.
Ramprasath Jayaprakash, Krishnaraj Natarajan, J. Alfred Daniel, Chandru Vignesh Chinnappan, Jayant Giri, Hong Qin, Hong Qin, Saurav Mallik, Saurav Mallik   +8 more
doaj   +1 more source

CERT strategy to deal with phishing attacks

, 2017
Every day, internet thieves employ new ways to obtain personal identity people and get access to their personal information. Phishing is a somehow complex method that has recently been considered by internet thieves.The present study aims to explain ...
Sedaghat, Shahrzad
core   +1 more source

One Step Forward, Two Steps Back: Managing Uncertainties in Outcomes, Deliverables, and Means in Behavioral Intervention Development Projects

Journal of Operations Management, Volume 72, Issue 1, Page 81-107, January 2026.
ABSTRACT We take an extended perspective on project success that includes post‐project outcomes as well as at‐end and during‐project success. To manage projects accordingly, we conceptualize three corresponding orders of uncertainty (outcomes, deliverables, and means uncertainties).
Philip Cash, Melanie E. Kreye, Tyson R. Browning   +2 more
wiley   +1 more source

Characterizing Phishing Threats with Natural Language Processing

, 2015
Spear phishing is a widespread concern in the modern network security landscape, but there are few metrics that measure the extent to which reconnaissance is performed on phishing targets.
Kotson, Michael C., Schulz, Alexia
core   +1 more source

Generating Phishing Attacks using ChatGPT

, 2023
The ability of ChatGPT to generate human-like responses and understand context has made it a popular tool for conversational agents, content creation, data analysis, and research and innovation. However, its effectiveness and ease of accessibility makes it a prime target for generating malicious content, such as phishing attacks, that can put users at ...
Roy, Sayak Saha, Naragam, Krishna Vamsi, Nilizadeh, Shirin   +2 more
openaire   +2 more sources