Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Scalable service performance monitoring
AIMS'10 Proceedings of the Mechanisms for autonomous management of networks and services, and 4th international conference on Autonomous infrastructure, management and security
Early classification of network traffic through multi-classification
TMA'11 Proceedings of the Third international conference on Traffic monitoring and analysis
Feature extraction based IP traffic classification using machine learning
ACAI '11 Proceedings of the International Conference on Advances in Computing and Artificial Intelligence
Using a behaviour knowledge space approach for detecting unknown IP traffic flows
MCS'11 Proceedings of the 10th international conference on Multiple classifier systems
Tetherway: a framework for tethering camouflage
Proceedings of the fifth ACM conference on Security and Privacy in Wireless and Mobile Networks
Efficient BitTorrent handshake obfuscation
Proceedings of the First Workshop on P2P and Dependability
Padding and fragmentation for masking packet length statistics
TMA'12 Proceedings of the 4th international conference on Traffic Monitoring and Analysis
Increasing resilience of ATM networks using traffic monitoring and automated anomaly analysis
Proceedings of the 2nd International Conference on Application and Theory of Automation in Command and Control Systems
Deep packet inspection tools and techniques in commodity platforms: Challenges and trends
Journal of Network and Computer Applications
Measuring the impact of the copyright amendment act on New Zealand residential DSL users
Proceedings of the 2012 ACM conference on Internet measurement conference
Timely and continuous machine-learning-based classification for interactive IP traffic
IEEE/ACM Transactions on Networking (TON)
Evaluating MapReduce for profiling application traffic
Proceedings of the first edition workshop on High performance and programmable networking
Detection and classification of peer-to-peer traffic: A survey
ACM Computing Surveys (CSUR)
K-sparse approximation for traffic histogram dimensionality reduction
Proceedings of the 8th International Conference on Network and Service Management
Engineering Applications of Artificial Intelligence
A measurement-based study on the correlations of inter-domain Internet application flows
Computer Networks: The International Journal of Computer and Telecommunications Networking
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The area of Internet traffic measurement has advanced enormously over the last couple of years. This was mostly due to the increase in network access speeds, due to the appearance of bandwidth-hungry applications, due to the ISPs' increased interest in precise user traffic profile information and also a response to the enormous growth in the number of connected users. These changes greatly affected the work of Internet service providers and network administrators, which have to deal with increasing resource demands and abrupt traffic changes brought by new applications. This survey explains the main techniques and problems known in the field of IP traffic analysis and focuses on application detection. First, it separates traffic analysis into packet-based and flow-based categories and details the advantages and problems for each approach. Second, this work cites the techniques for traffic analysis accessible in the literature, along with the analysis performed by the authors. Relevant techniques include signature-matching, sampling and inference. Third, this work shows the trends in application classification analysis and presents important and recent references in the subject. Lastly, this survey draws the readers' interest to open research topics in the area of traffic analysis and application detection and makes some final remarks.