%0 Generic %1 rrajesh2013heuristic %B 2013 Information Technology and Power Electronics %D 2013 %E R.Rajesh, Dr. %I ACEEE (A Computer division of IDES) %K Alerts Clusters K- Threats means %T A Heuristic Approach for Network Data Clustering %U http://searchdl.org/public/book_series/LSCS/6/53.pdf %X In this growing world of technology there are lots of security threats received by each and every area of computer networks. Most of the time the network security threats produce high false positive and negative ratios, this creates an obstacle for any security system to work improperly. The overwhelming threats make it challenging to understand and manage the network data. To address this problem we present a novel approach which eventually understand the network data by clustering them without background knowledge of any threats according to various parameters like source IP, Destination IP etc. And this approach saves administrator’s time and energy in processing of large amount threats.

@conference{rrajesh2013heuristic, abstract = {In this growing world of technology there are lots of security threats received by each and every area of computer networks. Most of the time the network security threats produce high false positive and negative ratios, this creates an obstacle for any security system to work improperly. The overwhelming threats make it challenging to understand and manage the network data. To address this problem we present a novel approach which eventually understand the network data by clustering them without background knowledge of any threats according to various parameters like source IP, Destination IP etc. And this approach saves administrator’s time and energy in processing of large amount threats.}, added-at = {2014-02-04T09:42:55.000+0100}, biburl = {https://www.bibsonomy.org/bibtex/2babd88b9873ee0481cbe8d3d9c97d119/idescitation}, booktitle = {2013 Information Technology and Power Electronics}, editor = {R.Rajesh, Dr.}, interhash = {191be30f5e2c249660b10148381a71ae}, intrahash = {babd88b9873ee0481cbe8d3d9c97d119}, keywords = {Alerts Clusters K- Threats means}, organization = {Institute of Doctors Engineers and Scientists}, publisher = {ACEEE (A Computer division of IDES)}, timestamp = {2014-02-04T09:42:55.000+0100}, title = {A Heuristic Approach for Network Data Clustering}, url = {http://searchdl.org/public/book_series/LSCS/6/53.pdf}, year = 2013 }