Trial lecture
“Digital Equity and Network Access Technologies for Rural Regions”
Time and place: January 25, 2024 10:15 AM, Kristen Nygaards sal (5370), Ole-Johan Dahls hus
Main research findings
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This Ph.D. thesis introduces a robust framework for detecting anomalies within Software Defined Networks (SDN). It offers two distinct approaches, offline and real-time, anchored in second-order logic. The offline method is enhanced with an iterative approach to reduce latency. The real-time approach not only detects anomalies but also addresses firmware and physical failures while optimizing network performance. In its conclusion, the dissertation introduces an auto-correction mechanism presented by Inference Systems, which offers resolutions for detected anomalies.
Adjudication committee:
- Assistant Professor Mohamed Faten Zhani, University of Sousse, Tunisia
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Associate Professor Noha El-Ganainy, Kristiania University College, Norway
- Professor Josef Noll, University of Oslo, Norway
Supervisors
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Professor Paal E. Engelstad, OsloMET, Norway
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Professor Anis Yazid, OsloMET, Norway
Chair of defence:
Professor Emeritus Dag Langmyhr
Candidate contact information:
Contact information at Department: Mozhdeh Sheibani Harat