Development of software for monitoring the characteristics of traffic in a corporate computer network

E.E. Istratova, A.E. Smirnov, E.V. Glinin

Abstract


The article presents the results of the development and research of software for monitoring the characteristics of traffic in a corporate computer network. To implement the software, a preliminary analysis of the subject area was carried out, a review of existing solutions was carried out, the relevance of the work was determined, on their basis, software was developed for monitoring the characteristics of traffic in a corporate computer network. In the process of work, various tools and software were studied to solve this goal, a convenient user interface was developed that allows you to get the necessary traffic information in a minimum number of actions, a database was developed to store sessions for capturing incoming and outgoing information flows. The development of a software product for monitoring the characteristics of traffic in a corporate computer network was carried out using the object-oriented programming language C #. As part of the work, the developed software solution was compared with four other analogue programs installed in the same network. The comparison was carried out for incoming and outgoing traffic. The indicators of the number of connections and the volume of traffic were used as comparison criteria. The results of the research made it possible to conclude that the developed software product can be used for monitoring and planning data transmission in the corporate network of the company.

Full Text:

PDF (Russian)

References


Antonyanc E.N., Amelchenko A.O., Istratova E.E. Razrabotka programmnogo obespecheniya dlya issledovaniya skorosti peredachi dannyh v korporativnoj seti // International Journal of Open Information Technologies. 2021. V. 9. № 2. http://www.injoit.ru/index.php/j1/article/view/1035.

Wheeb A.H. Performance analysis of VoIP in wireless networks // International Journal of Computer Networks and Wireless Communications (IJCNWC). 2017. V. 7. № 4. P. 1-5.

Gabdullin A.SH., Inkinin I.F., Safiullina L.H. Analiz setevogo trafika // Vektor razvitiya upravlencheskih podhodov v cifrovoj ekonomike. 2020. № 2. P. 36-40.

Medvedev D.O. Analiz setevogo trafika na predpriyatii // Doklady TUSUR. 2017. № 3. P. 179-184.

Andrianov I.A. Analizator setevogo trafika // Vestnik Bryanskogo

gosudarstvennogo tekhnicheskogo universiteta. 2019. № 6. P. 38-49.

Aronov V.YU. Analiz harakteristik setevogo trafika s pomoshch'yu specializirovannyh programm // Problemy tekhniki i tekhnologii telekommunikacij. Opticheskie tekhnologii v telekommunikaciyah. – 2018. – P. 104-105.

Nor S.A., Alubady R., Kamil W.A. Simulated performance of TCP, SCTP, DCCP and UDP protocols over 4G network //Procedia computer science. – 2017. – V. 111. – P. 2-7.

Ivannikov V.P., Markin Y.V. Data representation model for in-depth analysis of network traffic. Program Comput Soft 42, 316–323 (2016). https://doi.org/10.1134/S0361768816050030.

Zhu Y., Zheng Y. Traffic identification and traffic analysis based on support vector machine. Neural Comput & Applic 32, 1903–1911 (2020). https://doi.org/10.1007/s00521-019-04493-2.

Hong J.W., Park SU., Kang YM. Enterprise Network Traffic Monitoring, Analysis, and Reporting Using Web Technology. Journal of Network and Systems Management 9, 89–111 (2001). https://doi.org/10.1023/A:1009481719707.

Platonov V.V., Semenov P.O. Detection of Abnormal Traffic in Dynamic Computer Networks with Mobile Consumer Devices. Aut. Control Comp. Sci. 52, 959–964 (2018). https://doi.org/10.3103/S0146411618080217.

Goodman R.M., Ambrose B.E. Stability of traffic patterns in broadband networks. J Netw Syst Manage 3, 371–380 (1995). https://doi.org/10.1007/BF02139530.

Fowdur T.P., Baulum B.N. & Beeharry Y. Performance analysis of network traffic capture tools and machine learning algorithms for the classification of applications, states and anomalies. Int. j. inf. tecnol. 12, 805–824 (2020).

AL-Dhief F.T. et al. Performance Comparison between TCP and UDP Protocols in Different Simulation Scenarios //International Journal of Engineering & Technology. – 2018. – V. 7. – №. 4.36. – P. 172-176.


Refbacks

  • There are currently no refbacks.


Abava  Кибербезопасность IT Congress 2024

ISSN: 2307-8162