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Seyfali Mahini
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- Lecturer, Department of computer science, Islamic Azad University, Khoy Branch, Khoy, Iran
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Abstract
nThis scientific article deals with the current status of IT security in an industrialized country and one of the many approaches. The emphasis is on what are known as Intrusion Detection Systems. These enable users to detect suspicious behavior and attacks in daily IT operations by analyzing data, resources and network flows. Based on previous research, the different variants, available detection types and their working methods are briefly explained and presented. The primary emphasis should be on understanding the functioning of the systems, their applications, and the constraints that govern them. The aim of the work is to select a suitable intrusion detection system for a hypothetical university such as SafeUni, its data center and the computer labs. This will be done after the mediation of the basics, an abbreviated requirements analysis is presented and the selected Intrusion Detection System, which best meets the requirements, is presented. The final stage involves summarizing the discovered information.
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Keywords: IT security, intrusion detection system, host-based, network-based, hybrid systems, signature-based, anomaly-based.
n[if 424 equals=”Regular Issue”][This article belongs to Journal of Computer Technology & Applications(jocta)]
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References
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[1] Jang-Jaccard J, Nepal S. A survey of emerging threats in cybersecurity. Journal of computer and system sciences. 2014 Aug 1;80(5):973-93.
[2]Brooks DJ, Coole MP. Intrusion Detection Systems. InEncyclopedia of Security and Emergency Management 2021 Jun 9 (pp. 490-494). Cham: Springer International Publishing.
[3]Khraisat A, Gondal I, Vamplew P, Kamruzzaman J. Survey of intrusion detection systems: techniques, datasets and challenges. Cybersecurity. 2019 Dec;2(1):1-22.
[4]Kim K, Aminanto ME, Tanuwidjaja HC. Network intrusion detection using deep learning: a feature learning approach. Springer; 2018 Sep 25.
[5] van Oorschot PC. Computer Security and the Internet. Springer International Publishing; 2020.
[6] Cid D, Hay A, Bray R. OSSEC host-based intrusion detection guide. Syngress; 2008 Apr 9.
[7] Kraft P, Weyert A. Network Hacking: ProfessionelleAngriffs-und Verteidigungstechnikengegen Hacker und Datendiebe. Franzis Verlag; 2017 Apr 25.
[8] Shukla P, Kumar S. Learning Elastic Stack 7.0: Distributed Search, Analytics, and Visualization Using Elasticsearch, Logstash, Beats, and Kibana. Packt Publishing Ltd; 2019 May 31.
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| Volume | 15 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 01 | |
| Received | December 22, 2023 | |
| Accepted | February 21, 2024 | |
| Published | April 5, 2024 |
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