Analysis of UDP Traffic Norms through Packet Sniffing on Peer-to-Peer Networks
Ahmad Sanda Musa · ATBU Journal of Science, Technology & Education · 2020
A significant obstacle with current peer-to-peer (p2p) traffic monitoring and analysis involves the large number of newly emerging p2p applications possessing more intricate communication structures and traffic patterns than the traditional client-server applications. The volume of traffic generated by these applications, such as uTorrent, BitTorrent, eMule, Ares, etc., is stated to be well over half of the total internet traffic. The dynamic use of port numbers, multiple sessions, and other smart features of these applications complicate the characterization of current p2p traffic. Transport-level traffic identification is a preliminary but required step towards traffic characterization, which this article mainly addresses. The traditional traffic identification methods are mostly based on well-known port numbers. These methods are not appropriate for the identification of emerging P2P applications. This paper proposes using a packet sniffer to identify the current p2p traffic. We categorized the most current used p2p network application based on their user datagram protocol (UDP) information to analyze the traffic patterns. Using this categorization, we found that UDP provided the most features that guarantee data integrity.