New Article Alert!
Hybrid attention-enhanced explainable model for encrypted traffic detection and classification Hybrid attention-enhanced explainable model for encrypted traffic detection and classification
Home » Posts tagged 'Behaviour-Centric Cybersecurity Center (BCCC)'
Behaviour-Centric Cybersecurity Center (BCCC)
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!
Malware Analysis Using Network and Memory Profiling Unveiling evasive malware behavior: toward generating a multi-sources benchmark dataset and evasive malware behavior profiling using network traffic and memory analysis
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!
Smart Contracts Security Unveiling Smart Contracts Vulnerabilities: Toward Profiling Smart Contracts Vulnerabilities using Enhanced Genetic Algorithm and Generating Benchmark Dataset
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
New Article Alert!
NTLFlowLyzer: Towards generating an intrusion detection dataset and intruders behavior profiling through network and transport layers traffic analysis and pattern extraction