New Article Alert!
A survey on encrypted network traffic: A comprehensive survey of identification/classification techniques, challenges, and future directions
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New Article
New Article Alert!
NTLFlowLyzer: Towards generating an intrusion detection dataset and intruders behavior profiling through network and transport layers traffic analysis and pattern extraction
Graduation Alert!
One of our Master's students, Sepideh Niktabe, successfully defended her thesis. We are thrilled to announce that, one of our Master's students, Sepideh Niktabe, successfully defended her thesis. She published two Q2 journal papers and submitted the third one in the last semester, co-developer of Network and Transposrt Layers network traffic analyzer (NTLFlowLyzer), and created two […]
Graduation Alert!
One of our Master's students, Sepideh HajiHosseinKhani, successfully defended her thesis. We are thrilled to announce that, one of our Master's students, Sepideh HajiHosseinKhani, successfully defended her thesis. She published one Q1 journal paper and submitted two more Q1 journal papers, developed one Smart Contracts vulnerabilities analyzer (SCsVulLuzer), and created two datasets (BCCC-VulSCs-2023 and BCCC-SCsVul-2024). Congratulations […]
Mitacs GRI - summer 2024
Mitacs Global Research Internship This year, we hosted three students, Alaa Souabni, Mohamed Aziz El Fadhel from Tunisia, and Adytiaraj from India, for the Mitacs Globalink Research Internship (GRI) program at the Behaviour-Centric Cybersecurity Center (BCCC). The program allows international undergraduate students to participate in a three-month research internship under the supervision of Canadian academic institution faculty […]
New Article Alert!
Unveiling malicious DNS behavior profiling and generating benchmark dataset through application layer traffic analysis
New Article Alert!
Toward Generating a New Cloud-Based Distributed Denial of Service (DDoS) Dataset and Cloud Intrusion Traffic Characterization.
New Article Alert!
Research Article Unveiling vulnerable smart contracts: Toward profiling vulnerable smart contracts using genetic algorithm and generating benchmark dataset