Browsing School of Mathematical & Computational Sciences by Subject "Denial of service attacks"

Now showing items 1-2 of 2

Detecting and mitigating the distributed denial of service attacks in software defined networks using machine learning approach - the integrated random forest and K-nearest neighbours classifiers

Ledwaba, Matlala (2023)

Distributed Denial of Service (DDoS) attacks present substantial risks to network availability and stability, especially within the realm of Software Defined Networks (SDNs). Inventive and efficient detection and mitigation ...
Implementing learning-based (ML-based) hybrid model to mitigate distributed denial of service (DDoS) attacks in mobile edge computing (MEC)

Chaki, Emmanuel Sibusiso (2023)

5G technology constitutes a considerable part of solving the problem of security in mobile communications. Multi-Access Edge Computing or mobile edge computing (MEC) extends the capabilities of cloud computing by locating ...

Search ULSpace