Application of Machine Learning for Ransomware Detection in IoT Devices-Reference-Cited by-同舟云学术

Application of Machine Learning for Ransomware Detection in IoT Devices

Published:2021 Issue: Volume: Page:393-420
ISSN:1860-949X
Container-title:Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities
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Author:

Ogundokun Roseline Oluwaseun^ORCID,Awotunde Joseph Bamidele^ORCID,Misra Sanjay,Abikoye Oluwakemi Christiana,Folarin Oluwafemi

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-72236-4_16

Reference210 articles.

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2. Granell, C., Kamilaris, A., Kotsev, A., Ostermann, F. O., & Trilles, S. (2020). Internet of things. In Manual of digital earth (pp. 387–423). Springer, Singapore.

3. Dai, H. N., Wang, H., Xu, G., Wan, J., & Imran, M. (2019). Big data analytics for manufacturing internet of things: Opportunities, challenges and enabling technologies. Enterprise Information Systems, 1–25.

4. Makkar, A., Garg, S., Kumar, N., Hossain, M. S., Ghoneim, A., & Alrashoud, M. (2020). An efficient spam detection technique for IoT devices using machine learning. IEEE Transactions on Industrial Informatics.

5. Vignau, B., Khoury, R., & Hallé, S. (2019). 10 years of IoT malware: A feature-based taxonomy. In 2019 IEEE 19th International Conference on Software Quality, Reliability and Security Companion (QRS-C) (pp. 458–465). IEEE.

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