Taxonomy of Intrusion Detection and Its Effectiveness in Internet of Things
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-51167-7_47
Reference12 articles.
1. X. Wang, C. Zhang, K. Zheng, Intrusion detection algorithm based on density, cluster centers, and nearest neighbors. China Commun. 13(7), 24–23 (2016)
2. W. Meng, Intrusion detection in the era of IoT: Building trust via traffic filtering and sampling. Computer 51(7), 36–43 (2018)
3. H. Sedjelmaci, S.M. Senouci, T. Taleb, An accurate security game for low- resource IoT devices. IEEE Trans. Veh. Technol. 66(10), 9381–9393 (2017)
4. W. Meng, W. Li, C. Su, J. Zhou, R. Lu, Enhancing trust management for wireless intrusion detection via traffic sampling in the era of big data. IEEE Access 6, 7234–7243 (2018)
5. T.H. Szymanski, Security and privacy for a green internet of things. IT Professional 19(5), 34–41 (2017)
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