Ensembling Sparse Autoencoders for Network Covert Channel Detection in IoT Ecosystems

Author:

Cassavia NunziatoORCID,Caviglione LucaORCID,Guarascio MassimoORCID,Liguori AngelicaORCID,Zuppelli MarcoORCID

Publisher

Springer International Publishing

Reference17 articles.

1. Ahmad, Z., Khan, A.S., Shiang, C.W., Abdullah, J., Ahmad, F.: Network intrusion detection system: a systematic study of machine learning and deep learning approaches. Trans. Emerg. Telecommun. Technol. 32(1), e4150 (2021)

2. Alcaraz, C., Bernieri, G., Pascucci, F., Lopez, J., Setola, R.: Covert channels-based stealth attacks in industry 4.0. IEEE Syst. J. 13(4), 3980–3988 (2019)

3. Antonakakis, M., et al.: Understanding the Mirai botnet. In: 26th USENIX Security Symposium, pp. 1093–1110 (2017)

4. Bengio, Y., Pascal, L., Dan, P., Larochelle, H.: Greedy layer-wise training of deep networks. In: Advances in Neural Information Processing Systems (NeurIPS), vol. 19, pp. 153–160. MIT Press (2007)

5. Darwish, O., Al-Fuqaha, A., Brahim, G.B., Jenhani, I., Vasilakos, A.: Using hierarchical statistical analysis and deep neural networks to detect covert timing channels. Appl. Soft Comput. 82, 105546 (2019)

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