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New Dataset Alert! (BCCC-IoT-IDS-Zwave-2025)

BCCC-IoT-IDS-Zwave-2025 We released a large-scale, multi-source IoT security dataset developed over five months (20 TB data, including more than 1 BILLION records) using a comprehensive smart-home testbed comprising more than 110 devices, including sensors, actuators, smart plugs, locks, meters, and controllers. According to the paper, the dataset includes 88 distinct attack scenarios spanning network-layer, device-layer, and service-layer threats, making it […]

New Dataset Alert! (BCCC-DeFiFraudTrans-2025)

DeFi Fraud Transactions (BCCC-DeFiFraudTrans-2025) We released the BCCC-DeFiFraudTrans-2025, a large-scale, Ethereum-based benchmark designed explicitly for profiling fraudulent and legitimate DeFi transactions. It contains 1,026,867 annotated transaction samples spanning from 2017 to 2024, drawn from 9,374 unique wallet addresses. The dataset integrates both wallet-level and transaction-level attributes, with 79 features extracted via the DeFiTransLyzer-V1.0 analyzer... Dataset: BCCC-DeFiFraudTrans-2025

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 Dataset Alert! (BCCC-cPacket-Cloud-DDoS-2024)

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 […]

New Dataset Alert! (BCCC-CIRA-CIC-DoHBrw-2020)

BCCC-CIRA-CIC-DoHBrw-2020 We released the 'BCCC-CIRA-CIC-DoHBrw-2020' dataset 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 including 249,836 instances in each category. Dataset: BCCC-CIRA-CIC-DoHBrw-2020