Scalable Fair Clustering Algorithm for Internet of Things Malware Classification-Reference-Cited by-同舟云学术

Scalable Fair Clustering Algorithm for Internet of Things Malware Classification

Published:2022 Issue: Volume: Page:271-287
ISSN:
Container-title:Handbook of Big Data Analytics and Forensics
language:
Short-container-title:

Author:

Obuzor Zibekieni,Anidu Adesola

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-74753-4_18

Reference68 articles.

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2. N. Milosevic, A. Dehghantanha, K.-K.R. Choo, Machine learning aided android malware classification. Comput. Electr. Eng. 61, 266–274 (2017)

3. A. Azmoodeh, A. Dehghantanha, M. Conti, K.-K.R. Choo, Detecting crypto-ransomware in IoT networks based on energy consumption footprint. J. Ambient. Intell. Humaniz. Comput. 9(4), 1141–1152 (2018)

4. M. Saharkhizan, A. Azmoodeh, A. Dehghantanha, K.-K.R. Choo, R.M. Parizi, An ensemble of deep recurrent neural networks for detecting IoT cyber attacks using network traffic. IEEE Internet Things J. 7(9), 8852–8859 (2020). https://doi.org/10.1109/jiot.2020.2996425

5. H.H. Pajouh, R. Javidan, R. Khayami, D. Ali, K.-K.R. Choo, A two-layer dimension reduction and two-tier classification model for anomaly-based intrusion detection in IoT backbone networks. IEEE Trans. Emerg. Top. Comput. 7, 314–323 (2016)

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