On the predictability of large transfer TCP throughput
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
An overview of anomaly detection techniques: Existing solutions and latest technological trends
Computer Networks: The International Journal of Computer and Telecommunications Networking
VoIP: A comprehensive survey on a promising technology
Computer Networks: The International Journal of Computer and Telecommunications Networking
Experiences of VoIP traffic monitoring in a commercial ISP
International Journal of Network Management
M/G/∞ transience, and its applications to overload detection
Performance Evaluation
Computer Networks: The International Journal of Computer and Telecommunications Networking
Wide-area Internet traffic patterns and characteristics
IEEE Network: The Magazine of Global Internetworking
Modeling VoIP Call Holding Times for Telecommunications
IEEE Network: The Magazine of Global Internetworking
Anomaly detection in VoIP traffic with trends
Proceedings of the 24th International Teletraffic Congress
| Hi-index | 0.00 |
In this paper we present methodological advances in anomaly detection tailored to discover abnormal traffic patterns under the presence of seasonal trends in data. In our setup we impose specific assumptions on the traffic type and nature; our study features VoIP call counts, for which several traces of real data has been used in this study, but the methodology can be applied to any data following, at least roughly, a non-homogeneous Poisson process (think of highly aggregated traffic flows). A performance study of the proposed methods, covering situations in which the assumptions are fulfilled as well as violated, shows good results in great generality. Finally, a real data example is included showing how the system could be implemented in practice.