CSE-CIC-IDS2018
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CSE-CIC-IDS 2018 Network Intrusion Detection Dataset Description The CSE-CIC-IDS2018 dataset was developed by the Communications Security Establishment (CSE) and the Canadian Institute for Cybersecurity (CIC). It includes seven different attack scenarios: Brute-force, Heartbleed, Botnet, DoS, DDoS, Web attacks, and inf
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Papers using CSE-CIC-IDS2018 (3)
- Hybrid Reputation Aggregation: A Robust Defense Mechanism for Adversarial Federated Learning in 5G and Edge Network EnvironmentsWeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks
in Federated Learning for Network Intrusion Detection SystemsA Multi-Agent Adaptive Deep Learning Framework for Online Intrusion
Detection