NDLI: Behavioral authentication of server flows

Content Provider	IEEE Xplore Digital Library
Author	Early, J.P. Brodley, C.E. Rosenberg, C.
Copyright Year	2003
Description	Author affiliation: CERIAS, Purdue Univ., West Lafayette, IN, USA (Early, J.P.)
Abstract	Understanding the nature of the information flowing into and out of a system or network is fundamental to determining if there is adherence to a usage policy. Traditional methods of determining traffic type rely on the port label carried in the packet header. This method can fail, however, in the presence of proxy servers that remap port numbers or host services that have been compromised to act as backdoors or covert channels. We present an approach to classify server traffic based on decision trees learned during a training phase. The trees are constructed from traffic described using a set of features we designed to capture stream behavior. Because our classification of the traffic type is independent of port label, it provides a more accurate classification in the presence of malicious activity. An empirical evaluation illustrates that models of both aggregate protocol behavior and host-specific protocol behavior obtain classification accuracies ranging from 82-100%.
Sponsorship	Applied Comput. Security Associates
Starting Page	46
Ending Page	55
File Size	304849
Page Count	10
File Format	PDF
ISBN	0769520413
DOI	10.1109/CSAC.2003.1254309
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-12-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Authentication Web server Network servers Telecommunication traffic Protocols Traffic control Filtering Portals Peer to peer computing Computer networks
Content Type	Text
Resource Type	Article

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