Network Traffic Analysis

By: Arya Brijith, International Center for AI and Cyber Security Research and Innovations (CCRI), Asia University, Taiwan,sia University, Taiwan, arya.brijithk@gmail.com

Abstract

Network traffic analysis is becoming more and more crucial in network management and cybersecurity domains. In this article, we shall discuss the significance of network traffic analysis and some tools that can be used for the same.

Keywords analyzer, network traffic, cybersecurity, tools.

Introduction

One of the most important aspects of keeping a network infrastructure safe and effective is network traffic analysis. Its responsibilities include helping with compliance management, enhancing network performance, detecting threats, and responding to incidents. Network traffic analytics insights are essential for maintaining the robustness, security, and effectiveness of today’s network infrastructure as the digital world changes. Let us discuss the significance and the tools that can be used for network traffic analysis.

Importance of Network traffic analysis

Through the identification of anomalous patterns or behaviors in network traffic, traffic analysis may assist in detecting possible security risks like malware infections, attack attacks, or unauthorized access.

Cybersecurity experts can detect suspicious behavior or signatures that correspond with established attack patterns by analyzing network data, which facilitates the early detection of cyber threats. Free audit trails are provided via network traffic analysis. satisfy compliance standards by keeping an eye on security event logs and network activities. Track the capacity of network traffic.

Few Network traffic analyzer tools

  • Wireshark: It is a free packet sniffer with features including network troubleshooting and analysis. Data packets can be seen, recorded, and analyzed with this tool. With the right driver support, administrators may utilize it to track down issues causing poor performance and inconsistent connectivity. It can collect data from the air and decrypt it into that format.
  • PRTG (Paessler Router Traffic Grapher): Paessler AG is the developer of this Microsoft Windows network monitoring program. It gathers and examines a range of data from the assigned hardware, applications, and gadgets. Within a single application, it offers the ability to see and monitor data from different PRTG installations.
  • Cisco Packet Tracer (CPT): This multitasking network simulation program can be used to carry out and examine a range of network tasks, including implementing different topologies, choosing the best route based on different routing algorithms, setting up suitable servers, subnetting, and examining different network configuration and troubleshooting commands.
  • NetFlow analyzer: When it comes to troubleshooting the network, and enhancing user availability, and performance, NetFlow can be an essential tool. It helps to optimize network performance and provides insights into traffic patterns.

Conclusion

To summarize, network traffic analysis is becoming a valuable tool for contemporary network management and cybersecurity. It is crucial for its capacity to identify irregularities, improve security, and guarantee compliance. To help administrators identify network bottlenecks, resolve issues, and maximize performance during a network outage, the tools we looked at—Wireshark, PRTG, Cisco Packet Tracer, and NetFlow Analyzer—serve as their go-to toolkit. This ensures strong security and smooth operations in our rapidly evolving digital world.

References

  1. Jain, G. (2021, March). Application of snort and wireshark in network traffic analysis. In IOP Conference Series: Materials Science and Engineering (Vol. 1119, No. 1, p. 012007). IOP Publishing.
  2. Sinha, A., & Kumar, N. (2013). Bandwidth Monitoring Tools. UACEE International Journal of Advances in Computer Networks and its Security3(2), 116-120.
  3. Tarkaa, N. S., Iannah, P. I., & Iber, I. T. (2017). Design and simulation of local area network using cisco packet tracer. The International Journal of Engineering and Science6(10), 63-77.
  4. Amini, P., Azmi, R., & Araghizadeh, M. A. (2019). Analysis of network traffic flows for centralized botnet detection. Journal of Telecommunication, Electronic and Computer Engineering (JTEC)11(2), 7-17.
  5. Poonia, V., Goyal, M. K., Gupta, B. B., Gupta, A. K., Jha, S., & Das, J. (2021). Drought occurrence in different river basins of India and blockchain technology based framework for disaster management. Journal of Cleaner Production312, 127737.
  6. Gupta, B. B., & Sheng, Q. Z. (Eds.). (2019). Machine learning for computer and cyber security: principle, algorithms, and practices. CRC Press.
  7. Singh, A., & Gupta, B. B. (2022). Distributed denial-of-service (DDoS) attacks and defense mechanisms in various web-enabled computing platforms: issues, challenges, and future research directions. International Journal on Semantic Web and Information Systems (IJSWIS)18(1), 1-43.
  8. Almomani, A., Alauthman, M., Shatnawi, M. T., Alweshah, M., Alrosan, A., Alomoush, W., & Gupta, B. B. (2022). Phishing website detection with semantic features based on machine learning classifiers: a comparative study. International Journal on Semantic Web and Information Systems (IJSWIS)18(1), 1-24.

Cite As

Brijith A. (2024) Network Traffic Analysis, Insights2Techinfo, pp.1

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