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Enhancing Cybersecurity Resilience: Advancing AI-Powered Security and Security of AI Through the UCS Knowledge Mobilization Program

Université du Québec en Outaouais (UQO) (May 28) Enhancing Cybersecurity Resilience: Advancing AI-Powered Security and Security of AI Through the UCS Knowledge Mobilization Program In this talk, we explore the evolving landscape of cybersecurity, focusing on how open-source tools and datasets drive the development of AI-powered solutions. Researchers and practitioners can leverage these resources to enhance threat detection, automate responses, […]

New Article Alert!

Hybrid attention-enhanced explainable model for encrypted traffic detection and classification Encrypted traffic detection is critical as protocols like TLS, VPNs, and Tor dominate modern networks. We propose a Hybrid Attention–LightGBM model with an augmented multi-dataset approach and Explainable AI tools (SHAP, LIME) to enhance interpretability, scalability, and generalization. Experiments show it outperforms state-of-the-art methods in […]

York U innovations advance global cybersecurity education

York U innovations advance global cybersecurity education:   Through the development of innovative open-source tools and initiatives, York University’s Behaviour-Centric Cybersecurity Center (BCCC) is advancing public engagement and cybersecurity education across the globe. 

New Article Alert!

Unveiling evasive malware behavior: toward generating a multi-sources benchmark dataset and evasive malware behavior profiling using network traffic and memory analysis Traditional detection methods struggle with evolving malware, and single-source datasets are no longer sufficient. We introduce BCCC-Mal-NetMem-2025, a multi-source dataset combining memory and network data, enriched with a benign behavior profiler (BUEBP) and the […]

Enhancing Cybersecurity Resilience: Advancing AI-Powered Security and Security of AI Through the UCS Knowledge Mobilization Program

Dalhousie University, Canada (Mar 7) Enhancing Cybersecurity Resilience: Advancing AI-Powered Security and Security of AI Through the UCS Knowledge Mobilization Program In this talk, we explore the evolving landscape of cybersecurity, focusing on how open-source tools and datasets drive the development of AI-powered solutions. Researchers and practitioners can leverage these resources to enhance threat detection, automate responses, and build more […]

New Article Alert!

Unveiling Smart Contracts Vulnerabilities: Toward Profiling Smart Contracts Vulnerabilities using Enhanced Genetic Algorithm and Generating Benchmark Dataset Smart Contracts (SCs) are critical in blockchain but remain vulnerable, with existing detection methods often lacking accuracy and scalability. We propose SCsVulLyzer V2.0, an analyzer extracting 240 features, combined with a Genetic Algorithm (GA)-based profiling method that leverages […]

New Analyzer Alert! (SCsVulLyzer-V2.0)

Smart Contracts Vulnerability Analyzer (SCsVulLyzer-V2.0) We released the second version of the SCsVulLyzer tool as a Python open-source project to extract 240 features from Smart Contracts in Ethereum Blockchain.

New Dataset Alert! (BCCC-SCsVul-2025)

BCCC-SCsVul-2025 We released the BCCC-SCsVuls-2024 dataset, which is a comprehensive resource for analyzing and detecting vulnerabilities in Solidity-based smart contracts, featuring 111,897 meticulously labeled samples across 11 vulnerabilities such as Re-entrancy (17,698), IntegerUO (16,740), DenialOfService (12,394), and Secure contracts (26,914). . . Dataset: BCCC-SCsVul-2025

New Article Alert!

Unveiling Smart Contracts Vulnerabilities: Toward Profiling Smart Contracts Vulnerabilities using Enhanced Genetic Algorithm and Generating Benchmark Dataset

New Article Alert!

A survey on encrypted network traffic: A comprehensive survey of identification/classification techniques, challenges, and future directions