Fast and scalable layer four switching
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Packet classification using tuple space search
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Packet classification on multiple fields
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Adaptive Polyclonal Programming Algorithm with Applications
ICCIMA '03 Proceedings of the 5th International Conference on Computational Intelligence and Multimedia Applications
A novel genetic algorithm based on immunity
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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The process of categorizing packets into “flows” in an Internet router is called packet classification. Packet classification is one of the most difficult problems in the Internet routers. Traditional packet classification algorithms focus on the time complexity and storage complexity of the classification and the rules used for classification are fixed and can not meet the increasing network requirement. In this paper, a polyclonal selection clustering algorithm for packet classification (PSC-PC) is proposed, which can produce the rules for classification automatically. Experimental results show that the rules obtained by PSC-PC are feasible for the packet classification, and the proposed algorithm is self-adaptive and self-learning, which makes it more applicable to the network whose types of application are changeable.