Abstract. The network measurement community has proposed multiple machine learning (ML) methods for traffic classification during the last years. Although several research works ha...
One-way packet delay is an important network performance metric. Recently, a new data structure called Lossy Difference Aggregator (LDA) has been proposed to estimate this metric m...
This paper presents a novel traffic classification approach which classifies TCP connections with help of observable Markov models. As traffic properties, payload length, direction...
Abstract. Network traffic classification and anomaly detection have received much attention in the last few years. However, due to the the lack of common ground truth, proposed met...
Romain Fontugne, Pierre Borgnat, Patrice Abry, Ken...
In the last few years the research community has proposed several techniques for network traffic classification. While the performance of these methods is promising especially for ...
Spurious Retransmission Timeouts in TCP connections have been extensively studied in the scientific literature, particularly for their relevance in cellular mobile networks. At the...
Antonio Barbuzzi, Gennaro Boggia, Luigi Alfredo Gr...
This paper aims at proposing a methodology for evaluating current IDS capabilities of detecting attacks targeting the networks and their services. This methodology tries to be as r...
Abstract. The available bandwidth of a network path impacts the performance of many applications, such as VoIP calls, video streaming and P2P content distribution systems. Several ...
Collecting and exploring monitoring data is becoming increasingly challenging as networks become larger and faster. Solutions based on both SQL-databases and specialized binary for...
The Domain Name System (DNS) is a crucial component of today’s Internet. The top layer of the DNS hierarchy (the root nameservers) is facing dramatic changes: cryptographically s...
Sebastian Castro, Min Zhang, Wolfgang John, Duane ...