@article{(Open Science Index):https://publications.waset.org/pdf/8695,
	  title     = {Data Mining on the Router Logs for Statistical Application Classification},
	  author    = {M. Rahmati and  S.M. Mirzababaei},
	  country	= {},
	  institution	= {},
	  abstract     = {With the advance of information technology in the
new era the applications of Internet to access data resources has
steadily increased and huge amount of data have become accessible
in various forms. Obviously, the network providers and agencies,
look after to prevent electronic attacks that may be harmful or may
be related to terrorist applications. Thus, these have facilitated the
authorities to under take a variety of methods to protect the special
regions from harmful data. One of the most important approaches is
to use firewall in the network facilities. The main objectives of
firewalls are to stop the transfer of suspicious packets in several
ways. However because of its blind packet stopping, high process
power requirements and expensive prices some of the providers are
reluctant to use the firewall. In this paper we proposed a method to
find a discriminate function to distinguish between usual packets and
harmful ones by the statistical processing on the network router logs.
By discriminating these data, an administrator may take an approach
action against the user. This method is very fast and can be used
simply in adjacent with the Internet routers.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {1},
	  number    = {12},
	  year      = {2007},
	  pages     = {4004 - 4007},
	  ee        = {https://publications.waset.org/pdf/8695},
	  url   	= {https://publications.waset.org/vol/12},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 12, 2007},