%0 Journal Article %1 redhwanmasaad2013utilizing %A Redhwan MA Saad, Selvakumar Manickam %A Ramadass, Sureswaran %D 2013 %E Das, Dr. Vinu V %J ACEEE International Journal of Network Security %K IPv6_Security Intrusion_Detection %N 1 %P 5 %T Utilizing Data Mining Approches in the Detection of Intrusion in IPv6 Network: Review & Analysis %U http://searchdl.org/public/journals/2013/IJNS/4/1/1382.pdf %V 4 %X The development of Internet protocols are greatly needed as the network security becomes one of the most important issues. This brings the need to develop IPv4 into IPv6 in order to proceed towards increasing the network capacity. Now Intruders are considered as one of the most serious threats to the internet security. Data mining techniques have been successfully utilized in many applications. Many research projects have applied data mining techniques to intrusion detection. Furthermore different types of data mining algorithms are very much useful to intrusion detection such as Classification, Link Analysis and Sequence Analysis. Moreover, one of the major challenges in securing fast networks is the online detection of suspicious anomalies in network traffic pattern. Most of the current security solutions failed to perform the security task in online mode because of the time needed to capture the packets and making decision about it. Practically, this study provides alliterative survey for the enhancement associated with IPv6 in terms of its security related functions. It is worthy mentioned that this study is concurred with the data mining approaches that have been used to detect intrusions.

@article{redhwanmasaad2013utilizing, abstract = {The development of Internet protocols are greatly needed as the network security becomes one of the most important issues. This brings the need to develop IPv4 into IPv6 in order to proceed towards increasing the network capacity. Now Intruders are considered as one of the most serious threats to the internet security. Data mining techniques have been successfully utilized in many applications. Many research projects have applied data mining techniques to intrusion detection. Furthermore different types of data mining algorithms are very much useful to intrusion detection such as Classification, Link Analysis and Sequence Analysis. Moreover, one of the major challenges in securing fast networks is the online detection of suspicious anomalies in network traffic pattern. Most of the current security solutions failed to perform the security task in online mode because of the time needed to capture the packets and making decision about it. Practically, this study provides alliterative survey for the enhancement associated with IPv6 in terms of its security related functions. It is worthy mentioned that this study is concurred with the data mining approaches that have been used to detect intrusions.}, added-at = {2014-01-16T09:37:07.000+0100}, author = {Redhwan MA Saad, Selvakumar Manickam and Ramadass, Sureswaran}, biburl = {https://www.bibsonomy.org/bibtex/27ebd5d3cbab9f99ea1eff3d07683ed9e/ideseditor}, editor = {Das, Dr. Vinu V}, interhash = {bdb5a1f132f009aa62780d551c2a542f}, intrahash = {7ebd5d3cbab9f99ea1eff3d07683ed9e}, journal = {ACEEE International Journal of Network Security}, keywords = {IPv6_Security Intrusion_Detection}, month = {july}, number = 1, pages = 5, timestamp = {2014-01-16T09:37:07.000+0100}, title = {Utilizing Data Mining Approches in the Detection of Intrusion in IPv6 Network: Review & Analysis}, url = {http://searchdl.org/public/journals/2013/IJNS/4/1/1382.pdf}, volume = 4, year = 2013 }