• SONALI SONI
• POOJA SHARMA

Abstract –- The region of intrusion detection is the focal idea in general system and computer security engineering. It is a critical innovation in business segment and additionally in explore zone. By observing the computer and system assets, Intrusion Detection System (IDS) identifies any of the abuse or unapproved get to which is fundamentally an attack to these assets. At that point it alarms and advises head for event of an intrusion. A few techniques can be utilized to recognize an intrusion. In this paper a new intrusion detection system is proposed using improved K-Means clustering and E-J48 algorithm. Experimental results demonstrate that the proposed technique outperforms the existing technique.

Keywords – Intrusion detection system, network security, k-means clustering, E-J48 algorithm.

"HYBRID INTRUSION DETECTION SYSTEM MODEL BY USING ENHANCED J-48 AND ENHANCED K-MEANS CLUSTERING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.407-413, July-2018, Available :http://www.jetir.org/papers/JETIR1807779.pdf

"HYBRID INTRUSION DETECTION SYSTEM MODEL BY USING ENHANCED J-48 AND ENHANCED K-MEANS CLUSTERING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp407-413, July-2018, Available at : http://www.jetir.org/papers/JETIR1807779.pdf