Results 61 to 70 of about 7,255 (230)

Artificial Intelligence in Multimedia Content Generation: A Review of Audio and Video Synthesis Techniques

Journal of the Society for Information Display, Volume 34, Issue 2, Page 49-67, February 2026.
Modern AI systems can now synthesize coherent multimedia experiences, generating video and audio directly from text prompts. These unified frameworks represent a rapid shift toward controllable and synchronized content creation. From early neural architectures to transformer and diffusion paradigms, this paper contextualizes the ongoing evolution of ...
Charles Ding, Rohan Bhowmik
wiley   +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

Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection

IEEE Open Journal of the Communications Society
Advancement 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, Muhammad Zaman, Ahmad Sami Al-Shamayleh, Rahiel Ahmad, Shafi'I Muhammad Abdulhamid, Ismail Ergen, Adnan Akhunzada   +6 more
doaj   +1 more source

PDMLP: Phishing Detection using Multilayer Perceptron

International Journal of Network Security & Its Applications, 2020
A phishing website is a significant problem on the internet. It’s one of the Cyber-attack types where attackers try to obtain sensitive information such as username and password or credit card information. The recent growth in deploying a Detection phishing URL system on many websites has resulted in a massive amount of available data to predict ...
Al-Ahmadi, Saad, Lasloum, Tariq
openaire   +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

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

FedPhishLLM: A privacy-preserving and explainable phishing detection mechanism using federated learning and LLMs

Journal of King Saud University: Computer and Information Sciences
Phishing attacks remain a significant cybersecurity threat, exploiting social engineering techniques to deceive users and steal sensitive information.
Wenhao Li, Selvakumar Manickam, Yung-Wey Chong   +2 more
doaj   +1 more source

Phish-Master: Leveraging Large Language Models for Advanced Phishing Email Generation and Detection

Applied Sciences
Phishing emails present a significant and persistent cybersecurity threat to individuals and organizations globally due to the difficulty in detecting these malicious messages. Large Language Models (LLMs) have inadvertently intensified this challenge by
Weihong Han, Junyi Zhu, Chenhui Zhang, Zhiqiang Zhang, Yangyang Mei, Le Wang   +5 more
doaj   +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

Secure Authentication via Quantum Physical Unclonable Functions: A Review

Advanced Quantum Technologies, Volume 9, Issue 1, January 2026.
This in‐depth review article examines the origins, development, and evolution of Quantum Physical Unclonable Functions (QPUFs), with a particular focus on their use in secure authentication. The topic is motivated and introduced in detail, addressing both theoretical foundations and practical implementations, and is supported by a systematic article ...
Pol Julià Farré, Vladlen Galetsky, Mohamed Belhassen, Gregor Pieplow, Kumar Nilesh, Holger Boche, Tim Schröder, Janis Nötzel, Christian Deppe   +8 more
wiley   +1 more source