Trends and Differences in Connection-Behavior within Classes of Internet Backbone Traffic
نویسندگان
چکیده
In order to reveal the influence of different traffic classes on the Internet, backbone traffic was collected within an eight month period on backbone links of the Swedish University Network (SUNET). The collected data was then classified according to network application. In this study, three traffic classes (P2P, Web and malicious) are compared in terms of traffic volumes and signaling behavior. Furthermore, longitudinal trends and diurnal differences are highlighted. It is shown that traffic volumes are increasing considerably, with P2P-traffic clearly dominating. In contrast, the amount of malicious and attack traffic remains constant, even not exhibiting diurnal patterns. Next, P2P andWeb traffic are shown to differ significantly in connection establishment and termination behavior. Finally, an analysis of TCP option usage revealed that Selective Acknowledgment (SACK), even though deployed by most web-clients, is still neglected by a number of popular web-servers.
منابع مشابه
Characterization and Classification of Internet Backbone Traffic
We contribute to an improved understanding of Internet traffic characteristics by measuring and analyzing modern Internet backbone data. We start the thesis with an overview of several important considerations for passive Internet traffic collection on large-scale network links. The lessons learned from a successful measurement project on academic Internet backbone links can serve as guidelines...
متن کاملOn Measurement and Analysis of Internet Backbone Traffic
In the last decade, the Internet emerged undoubtedly as the key component for commercial and personal communication. The success of the Internet is mainly based on its versatility and flexibility, allowing for the development of network applications ranging from simple text based utilities to complex systems for e-commerce and multi-media content. The ongoing expansion of the Internet is the ca...
متن کاملNetwork-Wide Anomaly Detection Based on Router Connection Relationships
Detecting distributed anomalies rapidly and accurately is critical for efficient backbone network management. In this letter, we propose a novel anomaly detection method that uses router connection relationships to detect distributed anomalies in the backbone Internet. The proposed method unveils the underlying relationships among abnormal traffic behavior through closed frequent graph mining, ...
متن کاملEffect of social traffic behavior on traffic violation the case study of Tehran
Current standards in microscopic modeling lack the ability to address certain traffic scenarios, the ability to capture discrete differences in driver behavior that exist between various driving populations, and are structured in such a fashion that various vehicle movements are predicted and modeled separately. In this study, effect of social traffic behavior on rate of traffic violation of ...
متن کاملAdvanced operations research techniques for multi-constraint QoS routing in internet
Internet Traffic has grown exponentially over last few years due to provision of multiple class services through Internet backbone. With the explosive use of Internet, contemporary Internet routers are susceptible to overloads and their services deteriorate drastically and often cause denial of services. In this paper, an analysis is made how forecasting technique, routing algorithm and Genetic...
متن کامل