Title
Detection and classification of peer-to-peer traffic: A survey
Abstract
The emergence of new Internet paradigms has changed the common properties of network data, increasing the bandwidth consumption and balancing traffic in both directions. These facts raise important challenges, making it necessary to devise effective solutions for managing network traffic. Since traditional methods are rather ineffective and easily bypassed, particular attention has been paid to the development of new approaches for traffic classification. This article surveys the studies on peer-to-peer traffic detection and classification, making an extended review of the literature. Furthermore, it provides a comprehensive analysis of the concepts and strategies for network monitoring.
Year
DOI
Venue
2013
10.1145/2480741.2480747
ACM Comput. Surv.
Keywords
Field
DocType
new internet paradigm,bandwidth consumption,article survey,traffic classification,network monitoring,network traffic,network data,peer-to-peer traffic detection,common property,new approach,deep packet inspection
Traffic classification,Data mining,Deep packet inspection,Peer-to-peer,Computer science,Bandwidth (signal processing),Traffic shaping,Network monitoring,Network traffic control,The Internet
Journal
Volume
Issue
ISSN
45
3
0360-0300
Citations 
PageRank 
References 
13
0.65
119
Authors
5
Search Limit
100119
Name
Order
Citations
PageRank
João V. Gomes1466.74
Pedro R. M. Inácio217212.35
Manuela Pereira36611.57
MÁRIO M. FREIRE443243.94
Paulo P. Monteiro515629.69