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Federated Intrusion Detection on Non-IID Data for IIoT networks using Generative Adversarial Networks and Reinforcement Learning

1 tháng trước

Federated learning has become the promising approach for building collaborative intrusion detection systems (IDS) as providing privacy guaranteeing among data holders. Nevertheless, the non-independent and identically distributed (Non-IID) data in real-world scenarios negatively impacts the performance of aggregated models from training client updates. To this end, in this paper, we…

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A case study for evaluating learners’ behaviors from online cybersecurity training platform on digital forensics subject

2 tháng trước

Virtual cybersecurity training platforms play an important role in developing the knowledge and practice skills for students in educational institution and universities. It helps learners can access to virtual laboratory through web-interface without any geolocation restriction, especially in the Covid-19 pandemic. Furthermore, instructors can monitor and understand learners’ behaviors in…

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