Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/13529,
  title    = {A Review on Soft Computing Technique in Intrusion Detection System},
  author    = {Noor Suhana Sulaiman and  Rohani Abu Bakar and  Norrozila Sulaiman},
  country   = {},
  institution={},
  abstract  = {Intrusion Detection System is significant in network
security. It detects and identifies intrusion behavior or intrusion
attempts in a computer system by monitoring and analyzing the
network packets in real time. In the recent year, intelligent algorithms
applied in the intrusion detection system (IDS) have been an
increasing concern with the rapid growth of the network security.
IDS data deals with a huge amount of data which contains irrelevant
and redundant features causing slow training and testing process,
higher resource consumption as well as poor detection rate. Since the
amount of audit data that an IDS needs to examine is very large even
for a small network, classification by hand is impossible. Hence, the
primary objective of this review is to review the techniques prior to
classification process suit to IDS data.},
    journal   = {International Journal of Computer, Electrical, Automation, Control and Information Engineering},  volume    = {6},
  number    = {12},
  year      = {2012},
  pages     = {1559 - 1564},
  ee        = {http://waset.org/publications/13529},
  url       = {http://waset.org/Publications?p=72},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 72, 2012},
}