## 4 Dataset
### Data Acquisition
(2022) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] Explainable intrusion detection systems (x-ids): A survey of current methods, challenges, and opportunities. _IEEE Access_**2022**, _10_, 112392-112415. [CrossRef]
* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] Anomaly-based intrusion detection systems: The requirements, methods, measurements, and datasets. _Trans. Emerg. Telecommun. Technol._**2021**, _32_, e4240. [CrossRef]* [PERSON] et al. (2021) [PERSON]; [PERSON]; [PERSON]; [PERSON] A comprehensive systematic literature review on intrusion detection systems. _IEEE Access_**2021**, \(9\), 157727-157760. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Network intrusion detection for IoT security based on learning techniques. _IEEE Commun. Surv. Tutorials_**2019**, _21_, 2671-2701. [CrossRef]
* [PERSON] et al. (2019) [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] Survey of intrusion detection systems: Techniques, datasets and challenges. _Cybersecurity_**2019**, \(2\), 1-22. [CrossRef]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Endpoint protection: Measuring the effectiveness of remediation technologies and methodologies for insider threat. In Proceedings of the 2019 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (Cyber), Guilin, China, 17-19 October 2019; pp. 81-89. * [PERSON] et al. (2016) [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] XABA: A zero-knowledge anomaly-based behavioral analysis method to detect insider threats. In Proceedings of the 2016 13 th International Iranian Society of Cryptology Conference on Information Security and Cryptology (ISCISC), Tehran, Iran, 7-8 September 2016; pp. 26-31. * [PERSON] et al. (2019) [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] Scoring Method for Detecting Potential Insider Threat based on Suspicious User Behavior using Endpoint Logs. In Proceedings of the International Conference on Artificial Intelligence (ICAI). The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp), Las Vegas, NV, USA, 29 July-1 August 2019; pp. 291-297. * [PERSON] and [PERSON] (2022) [PERSON]; [PERSON] [PERSON] Implementation of signature-based intrusion detection system using SNORT to prevent threats in network servers. _J. Soft Comput. Explor._**2022**, \(3\), 93-98. * [PERSON] et al. (2022) [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] On the detection capabilities of signature-based intrusion detection systems in the context of web attacks. _Appl. Sci._**2022**, _12_, 852. [CrossRef]
* [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON] [PERSON] A perspective-retrospective analysis of diversity in signature-based open-source network intrusion detection systems. _Int. J. Inf. Secur._**2023**, _23_, 1331-1346 [CrossRef]
* [PERSON] and [PERSON] (2020) [PERSON]; [PERSON] Performance evaluation of snort and _Suricata_ intrusion detection systems on ubuntu server. In Proceedings of the ICRIC 2019: Recent Innovations in Computing, Jammu, India, 9 March 2019; Springer: Berlin/Heidelberg, Germany, 2020; pp. 811-821. * [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON] [PERSON] A comparative analysis of different intrusion detection systems. _Int. Res. J. Mod. Eng. Technol. Sci._**2023**, \(5\), 34-45. * [PERSON] (2023) [PERSON] A review of Machine Learning-based zero-day attack detection: Challenges and future directions. _Comput. Commun._**2023**, _198_, 175-185. [CrossRef] [PubMed]
* [PERSON] et al. (2019) [PERSON]; [PERSON]; [PERSON] A framework for zero-day vulnerabilities detection and prioritization. _J. Inf. Secur. Appl._**2019**, _46_, 164-172. [CrossRef]
* [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON]. Detecting Unusual Activities in Local Network Using Snort and Wireshark Tools. _J. Adv. Inf. Technol._**2023**, _14_, 616-624. [CrossRef]
* [PERSON] et al.