On the Validation of Traffic Classification Algorithms, pp.8-72, 2008. ,
DOI : 10.1007/978-3-540-79232-1_8
The 1999 DARPA off-line intrusion detection evaluation, Computer Networks, vol.34, issue.4, pp.579-595, 2000. ,
DOI : 10.1016/S1389-1286(00)00139-0
Traffic data repository at the WIDE project, USENIX 2000 Annual Technical Conference: FREENIX Track, pp.263-270, 2000. ,
GTVS: Boosting the Collection of Application Traffic Ground Truth, p.9, 2009. ,
DOI : 10.1007/978-3-540-79232-1_8
WebClass, ACM SIGCOMM Computer Communication Review, vol.38, issue.1, pp.35-38, 2008. ,
DOI : 10.1145/1341431.1341437
A Visualization Tool for Exploring Multi-scale Network Traffic Anomalies, Journal of Networks, vol.6, issue.4, pp.9-274, 2009. ,
DOI : 10.4304/jnw.6.4.577-586
GT, ACM SIGCOMM Computer Communication Review, vol.39, issue.5, pp.13-18, 2009. ,
DOI : 10.1145/1629607.1629610
Toward the Accurate Identification of Network Applications, pp.5-41, 2005. ,
DOI : 10.1007/978-3-540-31966-5_4
TIE: A Community-Oriented Traffic Classification Platform, pp.64-74, 2009. ,
DOI : 10.1007/978-3-540-31966-5_4
Comparing traffic classifiers, ACM SIGCOMM Computer Communication Review, vol.37, issue.3, pp.65-68, 2007. ,
DOI : 10.1145/1273445.1273454
Extracting hidden anomalies using sketch and non Gaussian multiresolution statistical detection procedures, Proceedings of the 2007 workshop on Large scale attack defense , LSAD '07, pp.145-152, 2007. ,
DOI : 10.1145/1352664.1352675
URL : https://hal.archives-ouvertes.fr/ensl-00177654
Detection and identification of network anomalies using sketch subspaces, Proceedings of the 6th ACM SIGCOMM on Internet measurement , IMC '06, pp.6-147, 2006. ,
DOI : 10.1145/1177080.1177099
Evaluation of Anomaly Detection Method Based on Pattern Recognition, IEICE Transactions on Communications, vol.93, issue.2, 2010. ,
DOI : 10.1587/transcom.E93.B.328
A Comparative Study of Unsupervised Machine Learning and Data Mining Techniques for Intrusion Detection, pp.7-404, 2007. ,
DOI : 10.1007/978-3-540-73499-4_31
Internet traffic classification demystified: Myths, caveats, and the best practices, p.8, 2008. ,
Early application identification, Proceedings of the 2006 ACM CoNEXT conference on , CoNEXT '06, pp.6-7, 2006. ,
DOI : 10.1145/1368436.1368445
URL : https://hal.archives-ouvertes.fr/hal-01097554
Blinc: multilevel traffic classification in the dark, SIGCOMM '05, 2005. ,
Unconstrained endpoint profiling (googling the internet), p.8, 2008. ,
Finding and evaluating community structure in networks, Physical Review E, vol.69, issue.2, p.26113, 2004. ,
DOI : 10.1103/PhysRevE.69.026113
Fast unfolding of communities in large networks, Journal of Statistical Mechanics: Theory and Experiment, vol.2008, issue.10, 2008. ,
DOI : 10.1088/1742-5468/2008/10/P10008
URL : https://hal.archives-ouvertes.fr/hal-01146070