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Behaviour-Centric Cybersecurity Center (BCCC)
Home » Posts tagged 'Behaviour-Centric Cybersecurity Center (BCCC)' (Page 3)

Behaviour-Centric Cybersecurity Center (BCCC)

Cloud DDoS Attacks (BCCC-cPacket-Cloud-DDoS-2024)

Posted on 6 August 2025

The distributed denial of service attack poses a significant threat to network security. The effectiveness of new detection methods depends heavily on well-constructed datasets. After an in-depth analysis of 16 publicly available datasets and identifying their shortcomings across various dimensions, the 'BCCC-cPacket-Cloud-DDoS-2024' is meticulously created, addressing challenges identified in previous datasets through a cloud infrastructure. […]

DNS over HTTPS ( BCCC-CIRA-CIC-DoHBrw-2020 )

Posted on 6 August 2025

The 'BCCC-CIRA-CIC-DoHBrw-2020' dataset was created to address the imbalance in the 'CIRA-CIC-DoBre-2020' dataset. Unlike the 'CIRA-CIC-DoHBrw-2020' dataset, which is skewed with about 90% malicious and only 10% benign Domain over HTTPS (DoH) network traffic, the 'BCCC-CIRA-CIC-DoHBrw-2020' dataset offers a more balanced composition. It includes equal numbers of malicious and benign DoH network traffic instances, with […]

New Article Alert!

Posted on 24 July 2025

SCsVulSegLyzer: Detecting and Extracting Vulnerable Segments from Smart Contracts Using Weakly-Supervised Learning Smart contracts (SCs) are widely used in finance but remain attractive targets for hackers due to vulnerabilities, the immaturity of Solidity, and blockchain’s immutability. We present SCsVulSegLytix, a Transformer-based model that detects and extracts vulnerable segments directly from Solidity code using only contract-level […]

National Cybersecurity Consortium (NCC) conference, "Securing Canada: Evolving Threats and Innovations in Cybersecurity" and "AI-Driven Cybersecurity"

Posted on 29 June 2025

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

Posted on 3 June 2025

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!

Posted on 26 May 2025

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

Posted on 2 May 2025

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!

Posted on 28 April 2025

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

Posted on 7 March 2025

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!

Posted on 18 February 2025

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 […]