Advancing Leadership in Cybersecurity York University’s Behaviour-Centric Cybersecurity Center (BCCC) is advancing leadership in cybersecurity by collaborating with cPacket – a network monitoring company – to tackle a major cybercrime threat. Join us on a journey of navigating the intricate landscape of cybersecurity, where empowerment takes center A significant challenge in cybercrime is a distributed […]
BCCC-cPacket-Cloud-DDoS-2024 We released the 'BCCC-cPacket-Cloud-DDoS-2024' dataset collaboratively with cPacket from the States to address challenges identified in previous datasets through a cloud infrastructure. The dataset contains over eight benign user activities and 17 DDoS attack scenarios. The dataset is fully labeled (with a total of 26 labels) with over 300 features extracted from the network […]
Network and Transportation Layers Flow Analyzer (NTLFlowLyzer) We released the first version of NTLFlowLyzer tool as a Python open-source project to extract Network and Transportation layers features from network traffic for Anomaly Profiling (AP).
Benign User Profiler (BUP) We released the first version of Benign User Profiler (BUP) tool for generating network traffic based on the benign user behavior to create the background traffic for anomaly detection research project on network security.
Toward Generating a New Cloud-Based Distributed Denial of Service (DDoS) Dataset and Cloud Intrusion Traffic Characterization.
The Smart Contracts Vulnerability Analyzer (SCsVulLyzer) is a Python-based tool designed to analyze and extract key metrics from Ethereum smart contracts written in Solidity. It employs a suite of functions to dissect the contract's source code, compiling it to obtain its abstract syntax tree (AST), bytecode, and opcodes. The analyzer calculates entropy of the bytecode […]
BCCC-VulSCs-2023 We released the 'BCCC-VulSCs-2023' dataset to analyze the secure and vulnerable Smart Contracts. The BCCC-VulSCs-2023 dataset is a substantial collection for Solidity Smart Contracts (SCs) analysis, comprising 36,670 samples, each enriched with 70 feature columns. Dataset: BCCC-VulSCs-2023
Research Article Unveiling vulnerable smart contracts: Toward profiling vulnerable smart contracts using genetic algorithm and generating benchmark dataset
Recent Event Enhancing Cybersecurity Resilience: Advancing AI-Powered Security and Security of AI Through the UCS Knowledge Mobilization Program Dalhousie University, Halifax, NS, Canada March 7, 2025 Past Events Enhancing Cybersecurity Resilience: Advancing AI-Powered Security and Security of AI Through the UCS Knowledge Mobilization Program Canada 2025 Elevating Cybersecurity Vigilance: Cybersecurity, Social Engineering, and AI Threats […]