Milan Milivojević – Academy of Technical and Art Applied Studies Belgrade (ATUSS) – Department ICT College for vocational studies, Zdravka Čelara, 16, 11000, Belgrade, Republic of Serbia
Milan Pavlović – Academy of Technical and Art Applied Studies Belgrade (ATUSS) – Department ICT College for vocational studies, Zdravka Čelara, 16, 11000, Belgrade, Republic of Serbia
Marija Zajeganović – Academy of Technical and Art Applied Studies Belgrade (ATUSS) – Department ICT College for vocational studies, Zdravka Čelara, 16, 11000, Belgrade, Republic of Serbia
Keywords:
Computer networks;
Automation;
Python;
Statistical analysis
DOI: https://doi.org/10.31410/ITEMA.2023.11
Abstract: The development of artificial intelligence finds applications in various practical areas, such as computer networks. The primary goal of introducing automated methods is the efficient optimization of computer network operations. As input data for each algorithm, parameters that best describe the computer network are defined. Therefore, it is essential to define which parameters are relevant to ensure the significant use of automation methods. Parameters like Round-Trip Time delay resulting from ping commands can be used as the basis for defining input parameters for the automation system. This approach can help detect anomalies in network operation due to topology disruptions and increased load on specific links within the network. These anomalies can be mitigated by adjusting routing protocol parameters and activating redundant links. The authors describe basic features that can be extracted from time series data containing information about delay times. Special emphasis is placed on the characteristics that result from linear statistical analysis using the Python programming language.
![pdf](https://www.itema-conference.com/wp-content/uploads/2023/05/pdf.png)
![Open_Access-e1606158100869](https://www.itema-conference.com/wp-content/uploads/2023/05/Open_Access-e1606158100869.png)
7th International Scientific Conference on Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture – ITEMA 2023 – Conference Proceedings, Hybrid (Faculty of Organization and Informatics Varaždin, University of Zagreb, Croatia), October 26, 2023
ITEMA Conference Proceedings published by: Association of Economists and Managers of the Balkans – Belgrade, Serbia
ITEMA conference partners: Faculty of Economics and Business, University of Maribor, Slovenia; Faculty of Organization and Informatics, University of Zagreb, Varaždin; Faculty of Geography, University of Belgrade, Serbia; Institute of Marketing, Poznan University of Economics and Business, Poland; Faculty of Agriculture, Banat’s University of Agricultural Sciences and Veterinary Medicine ”King Michael I of Romania”, Romania
ITEMA Conference 2023 Conference Proceedings: ISBN 978-86-80194-75-2, ISSN 2683-5991, DOI: https://doi.org/10.31410/ITEMA.2023
Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission.
References
Ahuja, N., Singal, G., Mukhopadhyay, D., & Kumar, N. (2021). Automated DDOS attack detection in software defined networking. Journal of Network and Computer Applications, 187, 103108. https://doi.org/10.1016/j.jnca.2021.103108
Gezer, A. (2019). Large-scale round-trip delay time analysis of IPv4 hosts around the globe. Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 27: No. 3, Article 31. (pp. 1998-2009). https://doi.org/10.3906/elk-1803-137
Guo, H., & Heidemann, J. (2018). Detecting ICMP Rate Limiting in the Internet. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10771 LNCS, 3–17. https://doi.org/10.1007/978-3-319-76481-8_1
Gupta, S. C., & Kapoor, V. K. (2018). Fundamentals of mathematical statistics (11th edn. (Thoroughly revised). Sultan Chand & Sons.
Lauritzen, S. (2023). Fundamentals of Mathematical Statistics (1st ed.). New York, United States: Chapman and Hall/CRC.
Matcharashvili, T., Prangishvili, A., Tsveraidze, Z., & Laliashvili, L. (2020). Scale Features of a Network Echo Mechanism: Case Study for the Different Internet Paths. Journal of Computer Networks and Communications, 2020, 1-9. https://doi.org/10.1155/2020/4065048
Sengupta, S., Kim, H., & Rexford, J. (2022). Continuous in-network round-Trip time monitoring. SIGCOMM 2022 – Proceedings of the ACM SIGCOMM 2022 Conference (pp. 473– 485). https://doi.org/10.1145/3544216.3544222
Yaibuates, M., & Chaisricharoen, R. (2020). A Combination of ICMP and ARP for DHCP Malicious Attack Identification. 2020 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON) (pp. 15-19). 10.1109/ECTIDAMTNCON48261.2020.9090760