TY  - JOUR
TI  - A Review on Intelligent Data Mining and Soft Computing Techniques for Effective Intrusion Detection
AU  - Suma S G
AU  -  Dr. Ganapathy Sannasi
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2017/12/31
PY  - 2017
DO  - https://doi.org/10.32628/IJSRCSEIT
UR  - https://ijsrcseit.com/CSEIT1726216
VL  - 2
IS  - 6
SP  - 805	
EP  - 814
AB  - The world of computer today is increasingly dependent on interconnections between computer systems. Internet usage is increasing rapidly that the security against real time attack is a major concern. An intrusion detection system is a key defensive mechanism against the network attacks. Various approaches to intrusion detection are being used currently. This paper discusses about the various feature selection and intelligent classification techniques that are used to detect intrusions effectively. In addition to this, intrusion detection systems based on intelligent soft computing techniques are also discussed. Finally, a new intrusion detection model based on artificial immune system and fuzzy rough set based feature selection is suggested for effective and dynamic intrusion detection.