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1707036 Vol 4 · Issue 8 Download Paper

Dynamic Fault Detection and Removal in Routing Tables: A Practical Approach

Santhosh K Gary D Chris C Samyek N

Subject area: Science,Engineering and Technology  ·  Area of research: Networking

Abstract

Modern network systems depend on dynamic error detection together with routing table correction processes to achieve stability while ensuring efficient data transmission. Network routing tables function as storage for determining which network packets should transmit across the infrastructure. Corruption in routing tables originates from alterations in network departamento and hardware malfunctions and system configuration problems. Through integrated real-time monitoring along with error detection and error recovery features the system provides shorter downtime durations and enhanced regulatory compliance features. This paper demonstrates a method to detect and remove network failure types which do not interrupt operational capacity. Adaptive technology detects network inconsistencies which stem from malicious activity and outages and attacks or changes in network topology so it can perform automatic corrections. By performing simulations in tandem with performance evaluations this method shows its capacity to control and balance the network for improved overall network performance. The applied approach stands ready to identify network faults on schedule without harming network functionality.

Keywords

Dynamic Fault Detection, Routing Tables, Fault Removal, Network Stability, Adaptive Algorithms, Real-time Monitoring, Fault Tolerance, Routing Efficiency, Network Topology.

References

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[3] Lang, W., Hu, Y., Gong, C., Zhang, X., Xu, H., & Deng, J. (2021). Artificial intelligence-based technique for fault detection and diagnosis of EV motors: A review. IEEE Transactions on Transportation Electrification, 8(1), 384-406.

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[7] Malik, A., Khan, M. Z., Faisal, M., Khan, F., & Seo, J. T. (2021). An efficient dynamic solution for the detection and prevention of black hole attack in VANETs. Sensors, 22(5), 1897.

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How to cite this paper

Santhosh K, Gary D, Chris C, Samyek N "Dynamic Fault Detection and Removal in Routing Tables: A Practical Approach" Iconic Research And Engineering Journals Volume 4 Issue 8 2021 Page 114-121
Santhosh K, Gary D, Chris C, Samyek N "Dynamic Fault Detection and Removal in Routing Tables: A Practical Approach" Iconic Research And Engineering Journals, vol. 4, no. 8, Feb. 2021
Santhosh K, Gary D, Chris C, Samyek N (2021). Dynamic Fault Detection and Removal in Routing Tables: A Practical Approach. Iconic Research And Engineering Journals, 4(8).
Santhosh K, Gary D, Chris C, Samyek N "Dynamic Fault Detection and Removal in Routing Tables: A Practical Approach" Iconic Research And Engineering Journals, vol. 4, no. 8, Feb. 2021.
@article{1707036,
      author = {Santhosh K, Gary D, Chris C, Samyek N},
      title = {Dynamic Fault Detection and Removal in Routing Tables: A Practical Approach},
      journal = {Iconic Research And Engineering Journals},
      year = {2021},
      volume = {4},
      number = {8},
      pages = {114-121},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1707036.pdf},
      abstract = {Modern network systems depend on dynamic error detection together with routing table correction processes to achieve stability while ensuring efficient data transmission. Network routing tables function as storage for determining which network packets should transmit across the infrastructure. Corruption in routing tables originates from alterations in network departamento and hardware malfunctions and system configuration problems. Through integrated real-time monitoring along with error detection and error recovery features the system provides shorter downtime durations and enhanced regulatory compliance features. This paper demonstrates a method to detect and remove network failure types which do not interrupt operational capacity. Adaptive technology detects network inconsistencies which stem from malicious activity and outages and attacks or changes in network topology so it can perform automatic corrections. By performing simulations in tandem with performance evaluations this method shows its capacity to control and balance the network for improved overall network performance. The applied approach stands ready to identify network faults on schedule without harming network functionality.},
      keywords = {Dynamic Fault Detection, Routing Tables, Fault Removal, Network Stability, Adaptive Algorithms, Real-time Monitoring, Fault Tolerance, Routing Efficiency, Network Topology.},
      month = {February},
  }