3 năm 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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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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Although Software-defined networking (SDN) is a promising architecture that simplifies network management and control, it also faces security problems that may affect the whole network. Hence, protecting strategies, such as intrusion detection and prevention system (IDPS), are in need in the SDN context. The potential of machine learning-based solutions can…
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Forensics Analysis of FacePlay Application to Seek Digital Artifacts on Data Ownership and Privacy
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