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TMA
2010
Springer
148views Management» more  TMA 2010»
13 years 2 months ago
TCP Traffic Classification Using Markov Models
This paper presents a novel traffic classification approach which classifies TCP connections with help of observable Markov models. As traffic properties, payload length, direction...
Gerhard Münz, Hui Dai, Lothar Braun, Georg Ca...
IWIA
2003
IEEE
13 years 10 months ago
Stochastic Protocol Modeling for Anomaly Based Network Intrusion Detection
1 A new method for detecting anomalies in the usage of protocols in computer networks is presented in this work. The proposed methodology is applied to TCP and disposed in two step...
Juan M. Estévez-Tapiador, Pedro Garcia-Teod...
ACMSE
2005
ACM
13 years 10 months ago
Investigating hidden Markov models capabilities in anomaly detection
Hidden Markov Model (HMM) based applications are common in various areas, but the incorporation of HMM's for anomaly detection is still in its infancy. This paper aims at cla...
Shrijit S. Joshi, Vir V. Phoha
PE
2010
Springer
212views Optimization» more  PE 2010»
12 years 11 months ago
Modeling TCP throughput: An elaborated large-deviations-based model and its empirical validation
In today's Internet, a large part of the traffic is carried using the TCP transport protocol. Characterization of the variations of TCP traffic is thus a major challenge, bot...
Patrick Loiseau, Paulo Gonçalves, Julien Ba...
CONEXT
2006
ACM
13 years 8 months ago
Early application identification
The automatic detection of applications associated with network traffic is an essential step for network security and traffic engineering. Unfortunately, simple port-based classif...
Laurent Bernaille, Renata Teixeira, Kavé Sa...