A Detection of Intrusions Based on Deep Learning

Article Properties
  • Language
    English
  • DOI (url)
    10.1080/01969722.2023.2175134
  • Publication Date
    2023/02/15
  • Journal
    Cybernetics and Systems
  • Indian UGC (journal)
  • Refrences
    23
  • D. Kamalakkannan Department of Biomedical Engineering, Gnanamani College of Technology, Namakkal, Tamilnadu, India ORCID (unauthenticated)
  • D. Menaga Department of Computer Science and Engineering, St. Joseph’s Institute of Technology, Chennai, India ORCID (unauthenticated)
  • S. Shobana Department of IT, R.M.K. Engineering College, Chennai, India ORCID (unauthenticated)
  • K. V. Daya Sagar Department of Electronics and Computer Science, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhrapradesh, India ORCID (unauthenticated)
  • R. Rajagopal Department of EEE, Francis Xavier Engineering College, Tirunelveli, Tamilnadu, India ORCID (unauthenticated)
  • Mohit Tiwari Department of Computer Science and Engineering, Bharati Vidyapeeth’s College of Engineering, Delhi, India ORCID (unauthenticated)
Cite
Kamalakkannan, D., et al. “A Detection of Intrusions Based on Deep Learning”. Cybernetics and Systems, 2023, pp. 1-15, https://doi.org/10.1080/01969722.2023.2175134.
Kamalakkannan, D., Menaga, D., Shobana, S., Daya Sagar, K. V., Rajagopal, R., & Tiwari, M. (2023). A Detection of Intrusions Based on Deep Learning. Cybernetics and Systems, 1-15. https://doi.org/10.1080/01969722.2023.2175134
Kamalakkannan D, Menaga D, Shobana S, Daya Sagar KV, Rajagopal R, Tiwari M. A Detection of Intrusions Based on Deep Learning. Cybernetics and Systems. 2023;:1-15.
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