A Comparison of State-of-the-Art Machine Learning Models for OpCode-Based IoT Malware Detection-Reference-Cited by-同舟云学术

A Comparison of State-of-the-Art Machine Learning Models for OpCode-Based IoT Malware Detection

Published:2020 Issue: Volume: Page:109-120
ISSN:
Container-title:Handbook of Big Data Privacy
language:
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Author:

Peters William,Dehghantanha Ali^ORCID,Parizi Reza M.,Srivastava Gautam

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-38557-6_6

Reference47 articles.

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3. A.D. Dwivedi, G. Srivastava, S. Dhar, R. Singh, A decentralized privacy-preserving healthcare blockchain for IoT. Sensors 19(2), 326 (2019). https://doi.org/10.3390/s19020326

4. A.D. Dwivedi, L. Malina, P. Dzurenda, G. Srivastava, Optimized blockchain model for internet of things based healthcare applications, in 42nd International Conference on Telecommunications and Signal Processing, TSP 2019, Budapest, July 1–3 (2019), pp. 135–139. https://doi.org/10.1109/TSP.2019.8769060

5. R.M. Parizi, L. Guo, Y. Bian, A. Azmoodeh, A. Dehghantanha, K.R. Choo, CyberPDF: smart and secure coordinate-based automated health pdf data batch extraction. in 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) (2018), pp. 106–111

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