Autors: Nenova, M. V., Atanasov, D., Kiril Kassev., Nenov, A.
Title: Intrusion Detection System Model Implementation against DDOS attacks
Keywords: DDoS , IDS , SNORT

Abstract: In the paper is presented implementation of a system for detecting intrusion actions. An implementation of intrusion detection systems (IDS), their architectures, and intrusion detection methods are investigated. Analyzed are methods for SNORT (IDS) bandwidth traffic analysis in intrusion detection and prevention systems. The main requirements for Installation and configuration of the system are also discussed. Then the configuration of the firewall policy and specifics there, are also presented. It is also described the database structure, the operating modes, and analysis of the rules. Two of the most commonly implemented attacks and model for defense against them is proposed.

References

    Issue

    2019 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS), vol. COMCAS 2019, pp. Article number 8958346, 2019, Israel, IEEE, DOI 10.1109/COMCAS44984.2019.8958346

    Цитирания (Citation/s):
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    3. Ramesh S., Selvarayan S., Sunil K., Arumugam C. (2021) An Adaptive Multi-layered Approach for DoS Detection and Mitigation. In: Gervasi O. et al. (eds) Computational Science and Its Applications – ICCSA 2021. ICCSA 2021. Lecture Notes in Computer Science, vol 12957. Springer, Cham. https://doi.org/10.1007/978-3-030-87013-3_40 - 2021 - в издания, индексирани в Scopus или Web of Science

    Вид: пленарен доклад в международен форум, публикация в реферирано издание, индексирана в Scopus и Web of Science