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Research Article

Detection of Botnet in IOT Using Machine Learning

Open Access Peer Reviewed Crossref DOI

Authors

  • Vyshnav Unnikrishnan1
  • Jobin Mathew Samkutty2
  • Navin M Mathew3
  • Muhammad Shareef C S4
  • Chandu Asok5

1234 B. Tech, Computer Science, St. Thomas College of Engineering and Technology, Chengannur, Thrissur, Kerala, India. 5 Assistant Professor B. Tech, Computer Science, St. Thomas College of Engineering and Technology, Chengannur, Thrissur, Kerala, India.

Article Information

Published Online
May-June 2024
Pages
01-05
Article Type
Research Article
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References

1. A. Kumar, A. K. Singh, I. Ahmad et al., “A novel decentralized blockchain architecture for the preservation of privacy and data security
against cyberattacks in healthcare,” Sensors, vol. 22, no. 15, pp. 1–14, 2022.
2. T. Alyas, I. Javed, A. Namoun, A. Tufail, S. Alshmrany, and N. Tabassum, “Live migration of virtual machines using a mamdani fuzzy
inference system,” Computers, Materials & Continua, vol. 71, no. 2, pp. 3019–3033, 2022.
3. M. S. Mazhar, Y. Saleem, A. Almogren et al., “Forensic analysis on internet of things (IoT) device using machine to machine (M2M)
framework,” Electronics, vol. 11, no. 7, p. 1126, 2022.
4. T. Alyas, K. Alissa, M. Alqahtani et al., “Multi-Cloud integration security framework using honeypots,” Mobile Information Systems,
vol. 2022, pp. 1–13, Article ID 2600712, 2022.
5. T. Kalsoom, N. Ramzan, S. Ahmed, and M. Ur-Rehman, “Advances in sensor technologies in the era of smart factory and industry 4.0,”
Sensors, vol. 20, p. 6783, 2020.
6. M. Ahmad, T. M Ghazal, and N. Aziz, “A survey on animal identification techniques past and present,” International Journal of
Computational and Innovative Sciences, vol. 1, no. 2, pp. 1–7, 2022.
7. ] P. Jacob, “UNSW-NB15 dataset feature selection and network intrusion detection using deep learning,” International Journal of
Recent Technology and Engineering, vol. 7, no. 5S2, 2019
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