Results 81 to 90 of about 4,265,497 (230)
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
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
International Journal of Computer Applications, 2015 Phishing is basically stealing users personal information (e.g. stealing credit card information or using users banking passwords without any information to the user). Phishing can also be done by making fake web pages as similar as the real, legitimate page and when the user fills information asked in those web pages, they become victim of phishers ...
Aniket Nayakawadi +2 more
openaire +1 more source
bit.ly/malicious: Deep Dive into Short URL based e-Crime Detection
, 2014 Existence of spam URLs over emails and Online Social Media (OSM) has become a massive e-crime. To counter the dissemination of long complex URLs in emails and character limit imposed on various OSM (like Twitter), the concept of URL shortening has gained
Aggarwal, Anupama +2 more
core +1 more source
Intelligent Security for Phishing Online using Adaptive Neuro Fuzzy Systems [PDF]
, 2017 Anti-phishing detection solutions employed in industry use blacklist-based approaches to achieve low false-positive rates, but blacklist approaches utilizes website URLs only.
Barraclough, Phoebe, Fehringer, Gerhard
core +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 +2 more
wiley +1 more source
The applicability of a hybrid framework for automated phishing detection
Computers & securityattacks are a critical and escalating cybersecurity threat in the modern digital landscape.
R. J. V. Geest +3 more
semanticscholar +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
Catching the Phish: Detecting Phishing Attacks Using Recurrent Neural Networks (RNNs) [PDF]
, 2020 The emergence of online services in our daily lives has been accompanied by a range of malicious attempts to trick individuals into performing undesired actions, often to the benefit of the adversary. The most popular medium of these attempts is phishing attacks, particularly through emails and websites.
Halgas, L, Agrafiotis, I, Nurse, J
openaire +2 more sources
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 +2 more
wiley +1 more source