Bro: a system for detecting network intruders in real-time
Computer Networks: The International Journal of Computer and Telecommunications Networking
Snort - Lightweight Intrusion Detection for Networks
LISA '99 Proceedings of the 13th USENIX conference on System administration
The CoralReef Software Suite as a Tool for System and Network Administrators
LISA '01 Proceedings of the 15th USENIX conference on System administration
Internet traffic classification using bayesian analysis techniques
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
BLINC: multilevel traffic classification in the dark
Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications
Traffic classification on the fly
ACM SIGCOMM Computer Communication Review
Algorithms to accelerate multiple regular expressions matching for deep packet inspection
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Traffic classification using clustering algorithms
Proceedings of the 2006 SIGCOMM workshop on Mining network data
Traffic classification through simple statistical fingerprinting
ACM SIGCOMM Computer Communication Review
Identifying and discriminating between web and peer-to-peer traffic in the network core
Proceedings of the 16th international conference on World Wide Web
Revealing skype traffic: when randomness plays with you
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
An improved algorithm to accelerate regular expression evaluation
Proceedings of the 3rd ACM/IEEE Symposium on Architecture for networking and communications systems
Early application identification
CoNEXT '06 Proceedings of the 2006 ACM CoNEXT conference
Deflating the big bang: fast and scalable deep packet inspection with extended finite automata
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Extending finite automata to efficiently match Perl-compatible regular expressions
CoNEXT '08 Proceedings of the 2008 ACM CoNEXT Conference
KISS: Stochastic Packet Inspection
TMA '09 Proceedings of the First International Workshop on Traffic Monitoring and Analysis
Support Vector Machines for TCP traffic classification
Computer Networks: The International Journal of Computer and Telecommunications Networking
GT: picking up the truth from the ground for internet traffic
ACM SIGCOMM Computer Communication Review
An experimental evaluation of the computational cost of a DPI traffic classifier
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Evaluating regular expression matching engines on network and general purpose processors
Proceedings of the 5th ACM/IEEE Symposium on Architectures for Networking and Communications Systems
Toward the accurate identification of network applications
PAM'05 Proceedings of the 6th international conference on Passive and Active Network Measurement
Self-Learning IP traffic classification based on statistical flow characteristics
PAM'05 Proceedings of the 6th international conference on Passive and Active Network Measurement
Live digital, remember digital: State of the art and research challenges
Computers and Electrical Engineering
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Deep Packet Inspection (DPI) techniques are considered extremely expensive in terms of processing costs and therefore are usually deployed in edge networks, where the amount of data to be processed is limited. This paper demonstrates that, in case the application can tolerate some compromises in terms of accuracy (such as many measurement-based tasks) and in presence of normal traffic, the processing cost can be greatly reduced while even improving the classification precision, making DPI suitable also for high-speed networks.