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A Lightweight Defense Mechanism against Next Generation of Phishing Emails using Distilled Attention-Augmented BiLSTM
Morteza Eskandarian, Mahdi Rabbani, Arun Kaniyamattam +6
The current generation of large language models produces sophisticated social-engineering content that bypasses standard text screening systems in business communication platforms.…
CIC-Trap4Phish: A Unified Multi-Format Dataset for Phishing and Quishing Attachment Detection
Fatemeh Nejati, Mahdi Rabbani, Morteza Eskandarian +5
Phishing attacks represents one of the primary attack methods which is used by cyber attackers. In many cases, attackers use deceptive emails along with malicious attachments to tr…
Security Threat Modeling for Emerging AI-Agent Protocols: A Comparative Analysis of MCP, A2A, Agora, and ANP
Zeynab Anbiaee, Mahdi Rabbani, Mansur Mirani +4
The rapid development of the AI agent communication protocols, including the Model Context Protocol (MCP), Agent2Agent (A2A), Agora, and Agent Network Protocol (ANP), is reshaping…
CICAPT-IIOT: A provenance-based APT attack dataset for IIoT environment
Erfan Ghiasvand, Suprio Ray, Shahrear Iqbal +2
The Industrial Internet of Things (IIoT) is a transformative paradigm that integrates smart sensors, advanced analytics, and robust connectivity within industrial processes, enabli…
Robust Black-box Watermarking for Deep NeuralNetwork using Inverse Document Frequency
Mohammad Mehdi Yadollahi, Farzaneh Shoeleh, Sajjad Dadkhah +1
Deep learning techniques are one of the most significant elements of any Artificial Intelligence (AI) services. Recently, these Machine Learning (ML) methods, such as Deep Neural N…