Navigating IoT Complexity: Developing Datasets for Smart-Home Device Interactions
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-70011-8_41
Reference22 articles.
1. Alrawi, O., Lever, C., Antonakakis, M., Monrose, F.: SoK: security evaluation of home-based IoT deployments. In: 2019 IEEE Symposium on Security and Privacy (SP), pp. 1362–1380. IEEE (2019)
2. Booij, T.M., Chiscop, I., Meeuwissen, E., Moustafa, N., den Hartog, F.T.H.: Ton IoT: the role of heterogeneity and the need for standardization of features and attack types in IoT network intrusion data sets. IEEE Internet of Things J. 9(1), 485–496 (2022)
3. Catillo, M., Pecchia, A., Rak, M., Villano, U.: Demystifying the role of public intrusion datasets: a replication study of dos network traffic data. Comput. Secur 108, 102341 (2021)
4. Conti, M., Mancini, L.V., Spolaor, R., Verde, N.V.: Can’t you hear me knocking: identification of user actions on android apps via traffic analysis. In: Proceedings of the 5th ACM Conference on Data and Application Security and Privacy (CODASPY 2015), pp. 297–304. Association for Computing Machinery, New York (2015)
5. Ferrag, M.A., Friha, O., Hamouda, D., Maglaras, L., Janicke, H.: Edge-iiotset: a new comprehensive realistic cyber security dataset of IoT and IIoT applications: centralized and federated learning (2022)
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