Kasongo, Sydney Mambwe (PhD)
Sydney Mambwe Kasongo obtained an NDipEng in Computer Systems (2013), a BTech in Computer Systems (2015) and an MTech in Computer Systems Engineering ( cum laude, 2017) from the Tshwane University of Technology, respectively. His research interests include deep learning, information security, IoT, data science, wireless networks and large-scale software engineering. During his PhD study, he published four accredited articles. The candidate’s research explored the application of deep learning (DL) for the development of wireless intrusion detection systems. Various methodologies, such as deep feed forward neural networks, deep long-short memory RNNs and deep gated recurrent unit RNNs were investigated. These approaches were implemented in conjunction with custom and generic feature extraction algorithms in order to reduce the overall complexity of each model vis-à-vis different datasets. The major contribution of this thesis is the development and implementation of an improved deep learning framework for wireless intrusion detection systems that is capable of efficiently mitigating various forms of attacks and threats.
Supervisor: Prof Yanxia Sun
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