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SCsVulSegLyzer: Detecting and Extracting Vulnerable Segments from Smart Contracts Using Weakly-Supervised Learning SCsVulSegLyzer: Detecting and Extracting Vulnerable Segments from Smart Contracts Using Weakly-Supervised Learning
Home » Posts tagged 'Behaviour-Centric Cybersecurity Center (BCCC)'
Behaviour-Centric Cybersecurity Center (BCCC)
Elevating Cybersecurity Vigilance: Understanding Cybersecurity Series (UCS)
EIT Digital, Summer School, Europe (July 2025) Elevating Cybersecurity Vigilance: Understanding Cybersecurity Series (UCS) for Fintech and Digital Finance As part of our Understanding Cybersecurity Series (UCS) knowledge mobilization project, this summer, I delivered cybersecurity workshops on digital finance and fintech at the European Institute of Innovation & Technology (EIT Digital) summer school, which hosts […]
National Cybersecurity Consortium (NCC) conference, "Securing Canada: Evolving Threats and Innovations in Cybersecurity" and "AI-Driven Cybersecurity"
Banff, Alberta, Canada (June 25-26) National Cybersecurity Consortium (NCC) conference, "Securing Canada: Evolving Threats and Innovations in Cybersecurity" and "AI-Driven Cybersecurity" Our founder and director, Prof. XYZ, was honored to serve as a panelist for two key discussions at the National Cybersecurity Consortium (NCC) Conference: “Securing Canada: Evolving Threats and Innovations in Cybersecurity” and “AI-Driven […]
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, […]
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Hybrid attention-enhanced explainable model for encrypted traffic detection and classification Hybrid attention-enhanced explainable model for encrypted traffic detection and classification
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.
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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.