Network Troubleshooting in Financial Systems: TCP/IP, DNS, and Firewalls
DOI:
https://doi.org/10.63282/3050-9416.IJAIBDCMS-V5I3P123Keywords:
Network Troubleshooting, Financial Systems, TCP/IP, DNS, Firewalls, Cyber Security, Network Reliability, Banking InfrastructureAbstract
Modern financial systems depend on very strong and always available network infrastructures to enable the various real-time transactions, digital payments, and interbank communications that, if disrupted even for a very short time, can lead to financial losses, regulatory issues, and customer distrust. In this paper, we first emphasize the importance of TCP/IP, DNS, and firewall settings in securing financial networks in terms of their availability, integrity, and safety, and then we show how transaction processing and system access can be disrupted by failures such as packet loss, high latency, DNS resolution errors, and wrongly set firewall rules. We identified typical network problems that impact financial platforms and presented a logical troubleshooting methodology, including layered network analysis, monitoring, log review, and configuration validation to quickly find and fix the problems. Additionally, a scenario study illustrates how the combination of a DNS error and a firewall policy modification blocking the necessary port caused transactions to fail and how a methodical troubleshooting approach saved the day by restoring the service and making the system more resilient. Finally, the article highlights that the investment in financial IT operations can be made more fruitful through proactive monitoring, well-documented procedures, and coordinated teamwork thereby ensuring consistent and reliable network performance.
References
1. Hunt, C. (2002). TCP/IP network administration (Vol. 2). "O'Reilly Media, Inc.".
2. Schivley, J. L. (1994). Network Security and the NPS Internet Firewall.
3. Bansal, S., & Mahajan, K. (2014). Network Firewall System.
4. Suryadevara, Siva Sai Krishna, and Kareem Shaik. “Real-Time Anomaly Detection and Attack Mitigation for Cloud-Based Content Delivery Paths Using AI”. International Journal of Emerging Research in Engineering and Technology, vol. 4, no. 1, Mar. 2023, pp. 175-8.
5. Haugdahl, J. S. (2000). Network analysis and troubleshooting. Addison-Wesley Professional.
6. Ranjbar, A. (2014). Troubleshooting and Maintaining Cisco IP Networks (TSHOOT) Foundation Learning Guide:(CCNP TSHOOT 300-135). Cisco Press.
7. Katangoori, Sivadeep, and Anudeep Katangoori. "Data-Centric AI in the Era of Large Volumes: Improving Model Outcomes through Data Quality Engineering." American Journal of Data Science and Artificial Intelligence Innovations 3 (2023): 430-457.
8. Parakala, Adityamallikarjunkumar. "Building ROI-Driven Bots: From Insights Dashboards to Outcome Tracking." International Journal of Emerging Research in Engineering and Technology 4.1 (2023): 112-123.
9. Vacca, J. R., & Ellis, S. (2004). Firewalls: jumpstart for network and systems administrators. Elsevier.
10. Gaddam, Rohit Reddy. “Cost-Aware Autoscaling for Batch Vs. Online Inference”. International Journal of Emerging Trends in Computer Science and Information Technology, vol. 3, no. 4, Dec. 2022, pp. 134-43
11. Cameron, R., Cantrell, C., Hemni, A., & Lorenzin, L. (2006). Configuring Juniper Networks NetScreen and SSG Firewalls. Elsevier.
12. Muppaneni, Kavya, and Mahesh Vejella. “Security and Data Privacy in Redux Stores”. International Journal of Artificial Intelligence, Data Science, and Machine Learning, vol. 4, no. 4, Dec. 2023, pp. 153-62.
13. Nakato, H. (2016). Networks Security: Attacks and Defense Mechanism by Designing an Intelligent Firewall Agent (Master's thesis, Sakarya Universitesi (Turkey)).
14. Muppaneni, Rajarshi Krishna. “Low-Code Revolution: How Power Platform Extends Dynamics 365 Capabilities”. International Journal of Artificial Intelligence, Data Science, and Machine Learning, vol. 4, no. 3, Sept. 2023, pp. 162-71.
15. Syme, M., & Goldie, P. (2004). Optimizing network performance with content switching: server, firewall, and cache load balancing. Prentice Hall Professional.
16. Kumar Doodala, Appala Nooka. “Offline-First Android Architecture for Waste Management in Low Connectivity Zones”. International Journal of Emerging Trends in Computer Science and Information Technology, vol. 4, no. 1, Mar. 2023, pp. 201-9.
17. Parakala, Adityamallikarjunkumar. "Hyperautomation & Cloud RPA." International Journal of Emerging Trends in Computer Science and Information Technology 4.2 (2023): 139-150.
18. Held, G. (2016). Windows Networking Tools: The Complete Guide to Management, Troubleshooting, and Security. CRC Press.
19. .Reynders, D., & Wright, E. (2003). Practical TCP/IP and ethernet networking for industry. Newnes.
20. Singh, H. (2017). Implementing Cisco Networking Solutions: Configure, implement, and manage complex network designs. Packt Publishing Ltd.
21. Takkalapally, DevenderRao. “HoloSearchAI: AI-Driven Latency Optimization Framework for Distributed Search Systems”. International Journal of Emerging Trends in Computer Science and Information Technology, vol. 4, no. 3, Sept. 2023, pp. 217-2
22. Owoko, W. (2024). Survey on evolving threats in TCP/IP header attacks: Emerging trends and future directions. World Journal of Advanced Engineering Technology and Sciences, 11(2), 454-475.
23. Shah, M., Soni, V., Shah, H., & Desai, M. (2016, March). TCP/IP network protocols—Security threats, flaws and defense methods. In 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 2693-2699). IEEE.
