Implementation of Virtual LANs (VLANs) for Academic Network Isolation Between Lecturer and Students
DOI:
https://doi.org/10.33197/justinfo.v3i1.3379Keywords:
Virtual LAN, Network Security, Academic Network, Cisco Packet Tracer, Network SegmentationAbstract
Network security is a critical aspect in academic environments where multiple user groups with different access privileges coexist within the same infrastructure. Inadequate network segmentation between lecturers and students can increase the risk of unauthorized access, data leakage, and disruption of academic services. This study aims to implement Virtual Local Area Network (VLAN) as a mechanism to isolate academic networks between lecturers and students in order to enhance network security. The research adopts an experimental approach using Cisco Packet Tracer to design and simulate VLAN-based network segmentation. VLAN 10 is assigned to the student network, while VLAN 20 is assigned to the lecturer network, each configured with distinct IP address ranges. Connectivity testing is conducted using ICMP ping to evaluate communication within the same VLAN and across different VLANs. The results show that communication within the same VLAN operates successfully, whereas communication between different VLANs is blocked, indicating effective network isolation. Furthermore, the implementation of VLAN supports the principles of Confidentiality, Integrity, and Availability (CIA Triad) by protecting sensitive academic data, preventing unauthorized data manipulation, and maintaining network service availability for authorized users. These findings demonstrate that VLAN-based segmentation is an effective and scalable solution for securing academic networks in higher education institutions.
References
[1] L. Qing, “Research on the Innovation of Student Education and Management in Colleges and Universities under Network Environment,” Int. J. New Dev. Educ., vol. 6, no. 5, pp. 242–247, 2024, doi: 10.25236/ijnde.2024.060538.
[2] M. N. Habib, W. Jamal, U. Khalil, and Z. Khan, “Transforming universities in interactive digital platform: case of city university of science and information technology,” Educ. Inf. Technol., vol. 26, no. 1, pp. 517–541, 2021, doi: 10.1007/s10639-020-10237-w.
[3] S. M. Saif, S. I. Ansarullah, M. T. Ben Othman, S. Alshmrany, M. Shafiq, and H. Hamam, “Impact of ICT in Modernizing the Global Education Industry to Yield Better Academic Outreach,” Sustainability, vol. 14, no. 11. p. 6884, 2022. doi: 10.3390/su14116884.
[4] U. Matthew, J. Kazaure, and N. Okafor, “Contemporary Development in E-Learning Education, Cloud Computing Technology & Internet of Things,” EAI Endorsed Trans. Cloud Syst., vol. 7, no. 20, p. 169173, 2018, doi: 10.4108/eai.31-3-2021.169173.
[5] M. Alenezi, “Digital Learning and Digital Institution in Higher Education,” Education Sciences, vol. 13, no. 1. p. 88, 2023. doi: 10.3390/educsci13010088.
[6] D. B. Rawat, R. Doku, and M. Garuba, “Cybersecurity in Big Data Era: From Securing Big Data to Data-Driven Security,” IEEE Trans. Serv. Comput., vol. 14, no. 6, pp. 2055–2072, 2021, doi: 10.1109/TSC.2019.2907247.
[7] M. Z. Gunduz and R. Das, “Cyber-security on smart grid: Threats and potential solutions,” Comput. Networks, vol. 169, p. 107094, 2020, doi: https://doi.org/10.1016/j.comnet.2019.107094.
[8] W. Ahmad, A. Rasool, A. R. Javed, T. Baker, and Z. Jalil, “Cyber Security in IoT-Based Cloud Computing: A Comprehensive Survey,” Electronics, vol. 11, no. 1. p. 16, 2022. doi: 10.3390/electronics11010016.
[9] Ö. Aslan, S. S. Aktuğ, M. Ozkan-Okay, A. A. Yilmaz, and E. Akin, “A Comprehensive Review of Cyber Security Vulnerabilities, Threats, Attacks, and Solutions,” Electronics, vol. 12, no. 6. p. 1333, 2023. doi: 10.3390/electronics12061333.
[10] Christian Fischer et al., “Mining Big Data in Education: Affordances and Challenges,” Rev. Res. Educ., vol. 44, no. 1, pp. 130–160, Mar. 2020, doi: 10.3102/0091732X20903304.
[11] L. Cohen-Vogel, M. Little, and C. Fierro, “Evidence-Based Staffing in High Schools: Using Student Achievement Data in Teacher Hiring, Evaluation, and Assignment,” Leadersh. Policy Sch., vol. 18, no. 1, pp. 1–34, Jan. 2019, doi: 10.1080/15700763.2017.1326146.
[12] Brendan Bartanen, “Principal Quality and Student Attendance,” Educ. Res., vol. 49, no. 2, pp. 101–113, Jan. 2020, doi: 10.3102/0013189X19898702.
[13] V. Rajkumar, M. Prakash, and V. Vennila, “Secure data sharing with confidentiality, integrity and access control in cloud environment,” Comput. Syst. Sci. Eng., vol. 40, no. 2, pp. 779–793, 2021, doi: 10.32604/CSSE.2022.019622.
[14] O. Mitchell and C. Osazuwa, “Confidentiality, Integrity, and Availability in Network Systems: A Review of Related Literature,” Int. J. Innov. Sci. Res. Technol., vol. 8, no. 12, 2023.
[15] L. Kim, “Cybersecurity: Ensuring Confidentiality, Integrity, and Availability of Information BT - Nursing Informatics : A Health Informatics, Interprofessional and Global Perspective,” U. H. Hübner, G. Mustata Wilson, T. S. Morawski, and M. J. Ball, Eds. Cham: Springer International Publishing, 2022, pp. 391–410. doi: 10.1007/978-3-030-91237-6_26.
[16] B. Hazela, S. K. Gupta, N. Soni, and C. N. Saranya, “Securing the Confidentiality and Integrity of Cloud Computing Data,” ECS Trans., vol. 107, no. 1, p. 2651, 2022, doi: 10.1149/10701.2651ecst.
[17] H. A. Saeed, S. Askar, Z. Soran, and D. Khoshnaw, “Comparative Evaluation of VXLAN with Traditional Overlay Network Protocols,” Indones. J. Comput. Sci., vol. 12, no. 2, pp. 284–301, 2023, [Online]. Available: http://ijcs.stmikindonesia.ac.id/ijcs/index.php/ijcs/article/view/3135
[18] D. Li, Z. Yang, S. Yu, M. Duan, and S. Yang, “A Micro-Segmentation Method Based on VLAN-VxLAN Mapping Technology,” Future Internet, vol. 16, no. 9. p. 320, 2024. doi: 10.3390/fi16090320.
[19] Y. A. Makeri, G. T. Cirella, F. J. Galas, H. M. Jadah, and A. O. Adeniran, “Network Performance Through Virtual Local Area Network (VLAN) Implementation & Enforcement On Network Security For Enterprise,” Int. J. Adv. Netw. Appl., vol. 12, no. 06, pp. 4750–4762, 2021, doi: 10.35444/ijana.2021.12604.
[20] S. W. Nourildean, Y. A. Mohammed, and H. A. Attallah, “Virtual Local Area Network Performance Improvement Using Ad Hoc Routing Protocols in a Wireless Network,” Computers, vol. 12, no. 2. p. 28, 2023. doi: 10.3390/computers12020028.
[21] T. Zhang, G. Wang, C. Xue, J. Wang, M. Nixon, and S. Han, “Time-Sensitive Networking (TSN) for Industrial Automation: Current Advances and Future Directions,” ACM Comput. Surv., vol. 57, no. 2, 2024, doi: 10.1145/3695248.
[22] W. Lei, M. Li, Y.-H. Kuo, and G. Q. Huang, “Converged Address Resolution Protocol for Traceability and Visibility in Cyber–Physical Internet,” IEEE Internet Things J., vol. 12, no. 14, pp. 27322–27338, 2025, doi: 10.1109/JIOT.2025.3562803.
[23] N. E. Cicek and N. Shafae, “Zero Trust Micro-Segmentation in Cloud Environments: A Systematic Literature Review of Strategies, Challenges, and Future Trends.” p. 29, 2025.
[24] A. Brännström and T. Vandermaesen, “The Role of Network Segmentation in Enhancing Cybersecurity in Substation Communication Networks.” p. 35, 2025.
[25] G. Mwansa, M. R. Ngandu, and Z. S. Dasi, “Enhancing Practical Skills in Computer Networking: Evaluating the Unique Impact of Simulation Tools, Particularly Cisco Packet Tracer, in Resource-Constrained Higher Education Settings,” Education Sciences, vol. 14, no. 10. p. 1099, 2024. doi: 10.3390/educsci14101099.
[26] O. Erukayenure, H. A. Bashir, A. Adekunbi, O. S. Esan, and O. Idris, “IoT Device Security in Modern Healthcare : Addressing Cyber Threats to Connected Medical Equipment,” Int. J. Med. All Body Heal. Res., vol. 06, no. 04, pp. 49–57, 2025, doi: 10.54660/IJMBHR.2025.6.4.49-57 Keywords:
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