Autors: Nikolov, D. N., Kordev I. H., Stefanova, S. A.
Title: Concept for network intrusion detection system based on recurrent neural network classifier
Keywords: DoS, high-school student, intrusion detection system, long-short term neural network, problem-based learning

Abstract: This paper presents the effects of problem based learning project on a high-school student in Technology school 'Electronic systems' associated with Technical University Sofia. The problem is creating an intrusion detection system for Apache HTTP Server with duration 6 months. The intrusion detection system is based on a recurrent neural network classifier namely long-short term memory units.

References

    Issue

    2018 IEEE 27th International Scientific Conference Electronics, pp. 1-4, 2018, Bulgaria, IEEE, DOI 10.1109/ET.2018.8549584

    Copyright IEEE

    Цитирания (Citation/s):
    1. Georgi, T., Radoslav, Y. & Nataly, Z. 2020, "Some security issues with the industrial internet of things and comparison to SCADA systems", SPIIRAS Proceedings, vol. 19, no. 2, pp. 358-382. - 2020 - в издания, индексирани в Scopus или Web of Science
    2. Laghrissi, F.E., Douzi, S., Douzi, K. & Hssina, B. 2021, "Intrusion detection systems using long short-term memory (LSTM)", Journal of Big Data, vol. 8, no. 1. - 2021 - в издания, индексирани в Scopus или Web of Science
    3. Larriva-Novo, X.A., Vega-Barbas, M., Villagra, V.A. & Sanz Rodrigo, M. 2020, "Evaluation of Cybersecurity Data Set Characteristics for Their Applicability to Neural Networks Algorithms Detecting Cybersecurity Anomalies", IEEE Access, vol. 8, pp. 9005-9014. - 2020 - в издания, индексирани в Scopus или Web of Science
    4. Soni, M.K., Jain, A.K., Patidar, C.P., Shukla, M. & Singh, U. 2020, "Review of network intrusion detection systems", International Journal of Scientific and Technology Research, vol. 9, no. 2, pp. 3901-3905. - 2020 - в издания, индексирани в Scopus или Web of Science
    5. Thapa, K.N.K. & Duraipandian, N. 2021, "Malicious Traffic classification Using Long Short-Term Memory (LSTM) Model", Wireless Personal Communications, . - 2021 - в издания, индексирани в Scopus или Web of Science
    6. Shende S., Thorat S., 2020, Long Short-Term Memory (LSTM) Deep Learning Method for Intrusion Detection in Network Security, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) Volume 09, Issue 06 (June 2020) - 2020 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
    7. Alqahtani, A.S. 2022, "FSO-LSTM IDS: hybrid optimized and ensembled deep-learning network-based intrusion detection system for smart networks", Journal of Supercomputing, . - 2022 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus