University of Twente Student Theses
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Implementation and Evaluation of a large-scale IoT device identification method(IoTFinder).
Tromp, J.J. (2025) Implementation and Evaluation of a large-scale IoT device identification method(IoTFinder).
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| Abstract: | The explosive growth of Internet of Things (IoT) devices has exposed networks to new security threats. IoTFinder, a DNS-based machine learning approach for identifying IoT devices, avoids the limitations of other approaches. This study aims to reimplement and evaluate IoTFinder using Python, with a particular focus on the impact of environmental factors on its performance. Specifically, we assess IoTFinder’s accuracy across three real-world environments: (1) mixed traffic scenarios, (2) static and dynamic network conditions, and (3) cross-country datasets from the US and the UK, evaluating its geographical generalizability. By assessing its performance across different environments, the research provides insight into the practical application of IoTFinder in the real world, demonstrating its potential as a tool for timely monitoring and mitigating IoT-related anomalies and security threats. |
| Item Type: | Essay (Bachelor) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science BSc (56964) |
| Link to this item: | https://purl.utwente.nl/essays/107332 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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