Implementation of Cybersecurity in Networks using MikroTik and Services in Debian
Keywords:
Cybersecurity, MikroTik, Debian, Firewall, Networks, Perimeter Security, HTTPS, Certbot, Network, Monitoring, Virtual HostsAbstract
This paper presents the implementation of cybersecurity measures in networks using MikroTik and a Debian server, with the aim of improving protection against threats such as unauthorized access and cyberattacks. The introduction highlights the importance of security in modern networks and the use of accessible tools for their protection. Related works mention approaches such as perimeter security, the use of firewalls, network monitoring, and secure communication. The methodology consisted of creating an environment with a public IP address, configuring a Debian server with various services, and applying firewall rules in MikroTik, in addition to implementing HTTPS with Certbot. The results show that the system was initially vulnerable, but after applying the configurations, access was restricted and security was improved. The analysis confirms that the use of firewalls, encryption, and monitoring allows for better control of the environment. Finally, it is concluded that the combination of these tools is fundamental to achieving a secure and functional network.
Downloads
References
Cisco Systems, Access Control Lists Configuration Guide, 2023.
Cisco Systems, VLAN Configuration Guide, 2022.
Cisco Systems, IPsec VPN Configuration Guide, 2023.
Cisco Systems, Cisco Secure Firewall (ASA) Configuration Guide, 2024.
MikroTik, RouterOS Documentation, 2024.
MikroTik, Firewall and NAT Configuration, 2023.
MikroTik, VPN Configuration Guide, 2024.
N. Moustafa et al., “A comprehensive review of network anomaly detection systems,” IEEE Access, vol. 9, pp. 1–20, 2021.
S. Latif et al., “Intrusion detection frameworks for network security: A review,” Journal of Network and Computer Applications, vol. 175, 2021.
A. Khraisat et al., “Survey of intrusion detection systems: Techniques, datasets and challenges,” Cybersecurity, vol. 4, no. 1, 2021.
Y. Xin et al., “Machine learning and deep learning methods for cybersecurity,” IEEE Access, vol. 8, pp. 35365–35381, 2020.
R. Vinayakumar et al., “Deep learning approach for intelligent intrusion detection system,” IEEE Access, vol. 7, pp. 41525–41550, 2020.
M. Conti et al., “A survey of man-in-the-middle attacks,” IEEE Communications Surveys & Tutorials, vol. 24, no. 1, pp. 1–25, 2022.
S. Ahmed et al., “A survey on network anomaly detection techniques,” Journal of Information Security and Applications, vol. 58, 2021.
M. Usman et al., “A survey of distributed denial-of-service attacks,” IEEE Access, vol. 9, pp. 1–15, 2021.
D. Kreutz et al., “Software-defined networking: A comprehensive survey,” Proceedings of the IEEE, vol. 103, no. 1, 2020.
N. Zarca et al., “Security management architecture for NFV/SDN-aware IoT systems,” IEEE Internet of Things Journal, vol. 7, no. 10, pp. 1–12, 2020.
Downloads
Published
Data Availability Statement
The data used in this study correspond to configuration and validation tests conducted in a controlled network environment.
Issue
Section
License
Copyright (c) 2026 International Journal of Information Science and Technological Applications-UAS IJISTA
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
