Edge-Gateway Intrusion Detection for Smart Home
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-29927-8_10
Reference19 articles.
1. Yuan, D., et al.: Intrusion detection for smart home security based on data augmentation with edge computing. In: 2020 IEEE International Conference on Communications (ICC), ICC 2020, pp. 1–6 (2020)
2. Saxena, U., Sodhi, J.S., Singh, Y.: An analysis of DDoS attacks in a smart home networks. In: 2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence), pp. 272–276 (2020)
3. Al-Kadi, O., Moustafa, N., Turnbull, B.P., Choo, K.R.: A deep blockchain framework-enabled collaborative intrusion detection for protecting IoT and cloud networks. IEEE Internet Things J. 8(12), 9463–9472 (2021)
4. Shen, S., Huang, L., Zhou, H., Yu, S., Fan, E., Cao, Q.: Multistage signaling game-based optimal detection strategies for suppressing malware diffusion in fog-cloud-based IoT networks. IEEE Internet Things J. 5(2), 1043–1054 (2018)
5. Graf, J., Neubauer, K., Fischer, S., Hackenberg, R.: Architecture of an intelligent intrusion detection system for smart home. In: 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), pp. 1–6 (2020)
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