BibTeX:

@article{IJIRSTV5I11015,
     title={The Survey on Fuzzy Logic: A Soft Computing Approach for Network Security},
     author={Swetha M S, Srishti Suman, Dr. Thungamani M and Munehswara M S},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={5},
     number={11},
     pages={65--69},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV5I11015.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

As we know that all the computer networks are very much prone to inside and outside attacks in recent days due to its different types of use in every field. For this aspect, a number of security techniques are applied to reduce the effect of all the possible no attacks in the network. The secure data communication over internet or any other network is under threat of intrusions and misuses all the time. In this case, network security is very important for protecting the intellectual data from attackers in computer network while transmission is being done. So many intrusion detection systems are already proposed to detect the intrusion in the network. We have so many of soft computing techniques one of which is neuro-fuzzy based intrusion detection system. Here we are going to emphasize the proposed neuro-fuzzy based intrusion detection system and discussed their suitability in terms of detection rates and false positives rates towards network security.

Fuzzy logic, soft computing, Neuro fuzzy, Intrusion Detection Systems