Data mining techniques make it possible to search large amounts of data for characteristic
rules and patterns. If applied to network monitoring data recorded on a host or in a network, …

In this paper we present a novel and computationally efficient waterfilling algorithm for multiuser
OFDM. This algorithm is based on the multiuser waterfilling theorem and determines the …

This dissertation deals with the detection of Internet traffic anomalies in flow-level measurement
data as well as the identification of their causes. The detection of traffic anomalies is …

With the wide deployment of flow monitoring in IP networks, the analysis of the exported flow
data has become an important research area. It has been shown that flow data can be used …

In this paper, we present Vermont, a flexible network monitoring toolkit for packet filtering
and packet sampling, flow accounting, and flow aggregation. This toolkit supports the export …

Distributed network analysis deals with the inspection of traffic observed at various locations
in the network. The conventional approach is to deploy a full-fledged network analyzer at …

In this paper we propose a computationally efficient subcarrier allocation algorithm for a
multiuser OFDM system suited for downlink and uplink transmission. The algorithm considers …

Malware and botnets pose a steady and growing threat to network security. Therefore, packet
analysis systems examine network traffic to detect active botnets and spreading worms. …

This paper presents a novel traffic classification approach which classifies TCP connections
with help of observable Markov models. As traffic properties, payload length, direction, and …

Network monitoring is a major building block for many domains in communication networks.
Besides typical accounting mechanisms and the emerging area of charging in next …