10th International Scientific Conference Technics, Informatics and Education – TIE 2024, str. 136-139

АУТОР(И) / AUTHOR(S): Uroš Pešović , Slađana Đurašević Pešović , Biljana Savić , Dušan Marković

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DOI: 10.46793/TIE24.136P

САЖЕТАК /ABSTRACT:

Broadcast storms represent events in the local area network (LAN) which is the result of excessive amounts of packet retransmissions by network switches which drastically reduce network performance and even overload network infrastructure which can result in that network becoming inoperational. Broadcast storms originate from broadcast and multicast packets which are targeted for all or groups of stations in LAN. Since these packets are addressed to multiple destinations, they are usually forwarded by network switches on multiple ports to reach all targeted destinations. This can become a serious problem in institutional LANs in which broadcast storms can create a temporary or permanent overload of the entire network infrastructure. This is most notably observed during the videoconferencing calls which could cause packet loss or connection interruptions. In this paper, we analyzed the influence of broadcast storms on network performance in institutional LAN and proposed a machine learning algorithm for the detection of broadcast storms based on the network traffic data collected by the Packet Capture (PCAP) Wireshark software.

КЉУЧНЕ РЕЧИ / KEYWORDS: 

broadcast storm; network performance; network switch; PCAP; Wireshark

ПРОЈЕКАТ / ACKNOWLEDGEMENTS:

This study was supported by the Ministry of Science, Technological Development and Innovation of the Republic of Serbia, and these results are parts of the Grant No. 451-03-66/ 2024-03/200132 with University of Kragujevac – Faculty of Technical Sciences Čačak, and Grant 451-03-66/2024-03/ 200088 with University of Kragujevac – Faculty of Agriculture Čačak.

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