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Hanan Hindy

PhD Student

  • PhD in Computing and Games, SDI
 https://orcid.org/0000-0002-5195-8193
  • Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
20182021

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  • 13 Citations
  • 3 h-Index
  • 6 Conference contribution
  • 4 Article

  • A security perspective on Unikernels

    Talbot, J., Pikula, P., Sweetmore, C., Rowe, S., Hindy, H., Tachtatzis, C., Atkinson, R. & Bellekens, X., 13 Jul 2020, International Conference on Cyber Security and Protection of Digital Services (Cyber Security 2020). IEEE , 7 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    File
    64 Downloads (Pure)

  • A taxonomy of network threats and the effect of current datasets on intrusion detection systems

    Hindy, H., Brosset, D., Bayne, E., Seeam, A., Tachtatzis, C., Atkinson, R. & Bellekens, X., 16 Jun 2020, In : IEEE Access. 8, p. 104650-104675 26 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    File
    3 Citations (Scopus)
    91 Downloads (Pure)

  • Labelled network capture generation for anomaly detection

    Nogues, M., Brosset, D., Hindy, H., Bellekens, X. & Kermarrec, Y., 17 Apr 2020, Foundations and practice of security: 12th International Symposium, FPS 2019, Toulouse, France, November 5–7, 2019, Revised Selected Papers. Benzekri, A., Barbeau, M., Gong, G., Laborde, R. & Garcia-Alfaro, J. (eds.). Cham: Springer, p. 98-113 16 p. (Lecture Notes in Computer Science; vol. 12056)(LNCS Sublibrary: SL4 – Security and Cryptology).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Open Access
    File
    90 Downloads (Pure)

  • Machine learning based IoT Intrusion Detection System: an MQTT case study (MQTT-IoT-IDS2020 Dataset)

    Hindy, H., Bayne, E., Bures, M., Atkinson, R., Tachtatzis, C. & Bellekens, X., 29 Aug 2020, (Accepted/In press) Selected Papers from the 12th International Networking Conference, INC 2020. Ghita, B. & Shiaeles, S. (eds.). Springer, 14 p. (Lecture Notes in Networks and Systems; vol. 180).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • Utilising Deep Learning techniques for effective zero-day attack detection

    Hindy, H., Atkinson, R., Tachtatzis, C., Colin, J-N., Bayne, E. & Bellekens, X., 14 Oct 2020, In : Electronics. 9, 10, 16 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    File
    11 Downloads (Pure)
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