ENHANCING NETWORK PERFORMANCE AND SECURITY: A Load Balancing and Firewall Approach
Description
This research is based on existing Salapungan Elementry School wireless campus network
which has to deal with large amount of data packets transfer daily between four different building of a
vast network. The access points do provide fast connectivity to the students and teaching staff but when
far apart building needs to communicate with each other, the network lags and doesn’t give a faster
output. Also, the network is open to attacks like virus spread and DDOS as the server ports are open and
can be pinged from anywhere in the network. Intruder if accessed one part of the network, will down the
system completely. To improve the performance of the system in high traffic hours, we applied HSRP
based load-balancing using multiple groups so easy passage way is provided to the packets as alternative
if the four connected routers are facing bottleneck. For the security of the campus network, we introduced
a host-based Firewall that created allow rule for IP and deny rule for ICMP so any possible attacks could
be easily mitigated. The results showed impressive results as throughput was improved 0.1535 KBPS to
0.2647 KBPS i.e. an average of double in kbps based on two different scenarios and the security was
made to 0% attack i.e. 5 of 5 packets blocked based on pinging using ICMP packets. Therefore, host
based firewall approach and HSRP based load balancing approach has been proven as secure and efficient
approaches to any upcoming networks based on wireless campus networks.
Files
Reseach paper.pdf
Additional details
References
- [1] [1] Satadal Sengupta Princeton University, U. satadal. sengupta@cs. princeton. edu H. K. P. U. U. hyojoonk@cs. princeton. edu J. R. P. U. U. jrex@cs. princeton. edu. (2022). Continuous In-Network Round-Trip Time Monitoring. SIGCOMM '22 Amsterdam, Netherlands, ACM SIGCOMM '22(CM ISBN https://doi.org/10.1145/3544216.3544222 978-1-4503-9420-8/22/08 Amsterdam, Netherlands. ACM, New York, NY, USA,), 1–13.O. R. Arogundade, "Network security concepts, dangers, and defense best practical," Computer Engineering and Intelligent Systems, vol. 14, no. 2, 2023. [2] Abu Al-Haija, Q., & Ishtaiwi, A. (2021). Machine Learning Based Model to Identify Firewall Decisions to Improve Cyber-Defense. 11(4).V. Jain, Cryptography and Network Security. KHANNA PUBLISHING HOUSE, 2013. [3] Adame, T., Carrascosa-Zamacois, M., & Bellalta, B. (2021). Time sensitive networking in ieee 802.11be: On the way to low-latency wifi 7. Sensors, 21(15). https://doi.org/10.3390/s21154954 [4] Afolake, A.-S. N., & Ajani, A. H. (n.d.). NIGERIAN ONLINE JOURNAL OF EDUCATIONAL SCIENCES AND TECHNOLOGY EFFECT OF CISCO-PACKET-TRACER SIMULATOR ON SENIOR SCHOOL STUDENTS' COMPREHENSION AND SKILL ACQUISITION IN COMPUTER NETWORK TOPOLOGY IN NIGERIA NIGERIAN ONLINE JOURNAL OF EDUCATIONAL SCIENCES AND TECHNOLOGY (NOJEST). In Nigerian Online Journal of Educational Sciences and Technology (NOJEST) (Vol. 3, Issue 2). http://nojest.unilag.edu.ng [5] Ahmed, A. H., & Al-Hamadani, M. N. A. (2021). Designing a secure campus network and simulating it using Cisco packet tracer. Indonesian Journal of Electrical Engineering and Computer Science, 23(1), 479–489. https://doi.org/10.11591/ijeecs.v23.i1.pp479-489 [6] Al-hamarneh, R. (2021). Improve Security in Smart Cities Based on IoT, Solve Cyber Electronic Attacks with Technology by using Packet Tracer. International Journal of Network Security & Its Applications, 13(6), 55 69. https://doi.org/10.5121/ijnsa.2021.13605 [7] Alhasan, A. J., & Surantha, N. (2021). Evaluation of Data Center Network Security based on Next-Generation Firewall. International Journal of Advanced Computer Science and Applications, 12(9), 518–525. https://doi.org/10.14569/IJACSA.2021.0120958 [8] Alsmirat, M., Institute of Electrical and Electronics Engineers. French Section, & Institute of Electrical and Electronics Engineers. (n.d.). 2020 Seventh International Conference on Software Defined Systems (SDS) : Paris, France. April 20-23, 2020. [9] Anagnostopoulos, T., Kostakos, P., Zaslavsky, A., Kantzavelou, I., Tsotsolas, N., Salmon, I., Morley, J., & Harle, R. (2021). Challenges and Solutions of Surveillance Systems in IoT-Enabled Smart Campus: A Survey. In IEEE Access (Vol. 9, pp. 131926–131954). Institute of Electrical and Electronics https://doi.org/10.1109/ACCESS.2021.3114447 Engineers Inc. [10] Arias Figueroa, D., Gimson, L., Sánchez, E., Gamarra, Á., & Gil, G. (n.d.). Experience on a course using Packet Tracer and Cisco real devices for practices IP Routing and IP addressing. [11] Barznji, A. O., & Ameen, J. J. H. (2021). WI-MAX NETWORK SIMULATION FOR SALAHADDIN UNIVERSITY NEW CAMPUS. Kufa Journal of Engineering, https://doi.org/10.30572/2018/kje/120401 12(4), 1–13. [12] ben Yakhlef, M., Jamiʻat Sidi Muḥammad ibn ʻAbd Allah. Polydisciplinary Faculty, Institute of Electrical and Electronics Engineers. Morocco Section, & Institute of Electrical and Electronics Engineers. (n.d.). Proceedings, 2019 International Conference on Intelligent Systems and Advanced Computing Sciences (ISACS) : December 26- 27, 2019, Taza, Morocco. 116937 VOLUME 1, 2025 116938 VOLUME 9, 2021 Talha Shahab et al.: Enhancing Network Performance and Security: A Load Balancing and Firewall Approach [13] Borghi, P. H., Borges, R. C., & Teixeira, J. P. (2021). Atrial fibrillation classification based on MLP networks by extracting Jitter and Shimmer parameters. Procedia Computer Science, 181, 931–939. https://doi.org/10.1016/j.procs.2021.01.249 [14] Diana Josephine, D., & Rajeswari, A. (2020). Simulation and Performance Analysis of CIT College Campus Network for Realistic Traffic Scenarios using NETSIM. Procedia Computer Science, 171, 2635–2644. https://doi.org/10.1016/j.procs.2020.04.286 [15] Easha, F. B. K., Abbas, R., & Daley, M. (2020). Campus Wi-Fi Coverage Mapping and Analysis. http://arxiv.org/abs/2004.01561 [16] Eltamaly, A. M., Alotaibi, M. A., Alolah, A. I., & Ahmed, M. A. (2021).Iot-based hybrid renewable energy system for smart campus. Sustainability (Switzerland), 13(15). https://doi.org/10.3390/su13158555 [17] Emmelmann, M., Corici, M., Eichhorn, F., Hauswirth, M., & Magedanz, T. (2022). Open 5G campus networks: key drivers for 6G innovations. Elektrotechnik Und Informationstechnik, 139(7), 589–600. https://doi.org/10.1007/s00502-022-01064-7 [18] Ethan, N., Bolus, E., Calma, D. V., Espino, J. A., & Guarin, B. M. (n.d.). A Proposed Wireless Campus Network Planning and Design of Salapungan Elementary School. [19] Faiz, A. H., Latif, A., Pirzada, N., Ali, I., & Ali, S. (2020). Wi-Fi Network Analysis of University Campus. IJCSNS International Journal of Computer Science and Network Security, 20(10), 40. https://doi.org/10.22937/IJCSNS.2020.20.10.6 [20] Faris, M., Mahmud, M. N., Salleh, M. F. M., & Alnoor, A. (2023). Wireless sensor network security: A recent review based on state-of-the art works. In International Journal of Engineering Business Management (Vol. 15). SAGE Publications Inc. https://doi.org/10.1177/18479790231157220 [21] Gao, M. (2022). Smart campus teaching system based on ZigBee wireless sensor network. Alexandria Engineering Journal, 61(4), 2625 2635. https://doi.org/10.1016/j.aej.2021.09.001 [22] Ghafar, A. A., Kassim, M., Ya'acob, N., Mohamad, R., & Rahman, R. A. (2020). Qos of wi-fi performance based on signal strength and channel for indoor campus network. Bulletin of Electrical Engineering and Informatics, 9(5), 2097–2108. https://doi.org/10.11591/eei.v9i5.2251 [23] Gopal, S., Kaul, S. K., Chaturvedi, R., & Roy, S. (2021). Coexistence of Age and Throughput Optimizing Networks: A Spectrum Sharing Game. IEEE/ACM Transactions on Networking, 29(4), 1494–1508. https://doi.org/10.1109/TNET.2021.3067900 [24] Institute of Electrical and Electronics Engineers, IEEE Communications Society, & ACM SIGMOBILE. (n.d.). 2020 23rd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN). [25] Jian, B., Ling, Y., Liu, X., & Xie, Y. (2021). Design of a Stereo Monitoring System Based on Wireless Sensor Networks. IOP Conference Series: Earth and Environmental Science, 1802(3). https://doi.org/10.1088/1742-6596/1802/3/032042 [26] Joung, J., & Kwon, J. (2021). Zero jitter for deterministic networks without time-synchronization. IEEE Access, 9, 49398–49414. https://doi.org/10.1109/ACCESS.2021.3068515 [27] Jurva, R. ;, Matinmikko-Blue, M. ;, Niemelä, V. ;, Hänninen, T., Jurva, R., Matinmikko-Blue, M., & Niemelä, V. (n.d.). Standard Nutzungsbedingungen: Smart Campus 5G and IoT network preparations for operational mode: Specification to deploy data and network management. https://hdl.handle.net/10419/224860 [28] Ma, K., Li, Z., Liu, P., Yang, J., Geng, Y., Yang, B., & Guan, X. (2021). Reliability-Constrained Throughput Optimization of Industrial Wireless Sensor Networks with Energy Harvesting Relay. IEEE Internet of Things Journal, 8(17), 13343–13354. https://doi.org/10.1109/JIOT.2021.3065966 [29] May, Z., Alam, M. K., Husain, K., & Hasan, M. K. (2020). An enhanced dynamic transmission opportunity scheme to support varying traffic load over wireless campus networks. PLoS ONE, 15(8 August). https://doi.org/10.1371/journal.pone.0238073 [30] Meng, Q., Xiao, M., Yan, S., Wang, Y., Lin, Z., & Luo, Z.-Q. (n.d.). Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation. [31] Mishra, A., Ghayar, J., Pendam, R., & Shinde, S. (2022). Design and Implementation of Smart Home Network using Cisco Packet Tracer. ITM Web of Conferences, 44, 01008. https://doi.org/10.1051/itmconf/20224401008 [32] Mishra, S. K., Sahoo, B., & Parida, P. P. (2020). Load balancing in cloud computing: A big picture. In Journal of King Saud University - Computer and Information Sciences (Vol. 32, Issue 2, pp. 149–158). King Saud bin Abdulaziz University. https://doi.org/10.1016/j.jksuci.2018.01.003 [33] Naagas, M. A., Macabale, N. A., & Palaoag, T. D. (2020). IPv6 campus transition: A central Luzon State University case study. Bulletin of Electrical Engineering and Informatics, 9(3), 1167–1175. https://doi.org/10.11591/eei.v9i3.2173 [34] National Institute of Technology (Tiruchchirappalli, I., TEQUIP-III (Program), IEEE Microwave Theory and Techniques Society, & Institute of Electrical and Electronics Engineers. (n.d.). Proceedings of the 2019 TEQIP - III Sponsored International Conference on Microwave Integrated Circuits, Photonics and Wireless Networks (IMICPW-2019) : 22nd - 24th May 2019, National Institute of Technology, Tiruchirappalli, India. [35] Patil, L., Salunkhe, D., Kahate, A., & Fernandes, A. (2020). Implementation of VPN, AWS Cloud Enabled Real Time Water Pollution System. International Research Journal of Engineering and Technology. www.irjet.net [36] Preprint, E., Borah, A., & Sharma, B. (2020). A Survey on Remote Diagnostic of Campus Network using IoT devices. [37] Ramchandran, M., & Ganesh, E. N. (2020). Energy efficient and interference-aware spectrum sensing technique for improving the throughput in cognitive radio networks. IOP Conference Series: Materials Science and Engineering, 993(1). https://doi.org/10.1088/1757 899X/993/1/012092 [38] Ran, D. (2020). Design and Planning of University Campus Network. Journal of Physics: Conference Series, 1533(2). https://doi.org/10.1088/1742-6596/1533/2/022109 [39] Razzaq, M. A., Mahar, J. A., Ahmad, M., Ali, I., Alroobaea, R., Almansour, F., & Roy, K. (2021). The 3-Axis Scalable Service-Cloud Resource Modeling for Burst Prediction Under Smart Campus Scenario. IEEE Access, 9, 116927–116941. https://doi.org/10.1109/ACCESS.2021.3105539 [40] Reddy, M. P., Subba Reddy, K., & Sena Reddy, M. I. (n.d.). Host Based Information Gathering Honeypots for Network Security. In International Journal Of Computational Engineering Research (Vol. 2, Issue 2). http://www.uwplatt.edu/ Talha Shahab et al.: Enhancing Network Performance and Security: A Load Balancing and Firewall Approach Talha Shahab et al.: Enhancing Network Performance and Security: A Load Balancing and Firewall Approach [41] Rischke, J., Sossalla, P., Itting, S., Fitzek, F. H. P., & Reisslein, M. (2021). 5G Campus Networks: A First Measurement Study. IEEE Access, 9, https://doi.org/10.1109/ACCESS.2021.3108423 121786–121803. [42] [Sebastin Antony Joe, S., Jereesha Mary, S. J., Cordova, R. S., Kalash, H. S., & Al-Badi, A. (2023). IoT-based Smart Campus Monitoring Based on an Improved Chimp Optimization-Based Deep Belief Neural Network. Indonesian Journal of Electrical Engineering and Informatics, 11(1), 210–224. https://doi.org/10.52549/ijeei.v11i1.4410 [43] Shafiq, D. A., Jhanjhi, N. Z., Abdullah, A., & Alzain, M. A. (2021). A Load Balancing Algorithm for the Data Centres to Optimize Cloud Computing Applications. IEEE Access, 9, 41731–41744. https://doi.org/10.1109/ACCESS.2021.3065308 [44] Srinivasa Rao, D., & Berlin Hency, V. (2021). Performance evaluation of congestion aware transmission opportunity scheduling scheme for 802.11 wireless LANs. International Journal of Intelligent Networks, 2, 34–41. https://doi.org/10.1016/j.ijin.2021.04.001 [45] Ssimbwa, J., Lim, B., & Ko, Y. C. (2022). GFDM Frame Design for Low-latency Industrial Networks. Journal of Communications and Networks, 24(3), 336–346. https://doi.org/10.23919/JCN.2021.000047 [46] Valks, B., Arkesteijn, M. H., Koutamanis, A., & den Heijer, A. C. (2020). Towards a smart campus: supporting campus decisions with Internet of Things applications. Building Research and Information, 1 20. https://doi.org/10.1080/09613218.2020.1784702 [47] Wang, P. (2022). Frontiers in Computing and Intelligent Systems Research on firewall technology and its application in computer network security strategy. 2(2), 42. [48] Watkins, L., Ballard, J., Hamilton, K., Chow, J., Rubin, A., Robinson, W. H., & Davis, C. (2020). Bio-inspired, host-based firewall. Proceedings - 2020 IEEE 23rd International Conference on Computational Science and Engineering, CSE 2020, 86–91. https://doi.org/10.1109/CSE50738.2020.00022 [49] Wei, F., & Lazaro, J. P. (2024). Campus Network Planning and Design Based on GPON Technology. https://ijetaa.com/article/view/103/ [50] Zhou, Z., Yu, H., & Shi, H. (2020). Optimization of Wireless Video Surveillance System for Smart Campus Based on Internet of Things. IEEE Access, 8, https://doi.org/10.1109/ACCESS.2020.3011951 136434–136448.