TY - GEN
T1 - A two-stage hybrid model for intrusion detection
AU - Krishnamoorthi,
AU - Reddy, N. V.Subba
AU - Acharya, U. Dinesh
PY - 2006
Y1 - 2006
N2 - As the number of networked computers grows, intrusion detection is an essential component in keeping networks secure. Various approaches to intrusion detection are currently being in use with each one has its own merits and demerits. This paper presents a hybrid approach for modeling intrusion detection system (IDS). Rule based classifier and simple K-means clustering are combined as a hybrid intelligent system. The initial prototype developed by the rule base classifier improves the performance of K-means clustering. The results show that the developed hybrid model provides better IDS.
AB - As the number of networked computers grows, intrusion detection is an essential component in keeping networks secure. Various approaches to intrusion detection are currently being in use with each one has its own merits and demerits. This paper presents a hybrid approach for modeling intrusion detection system (IDS). Rule based classifier and simple K-means clustering are combined as a hybrid intelligent system. The initial prototype developed by the rule base classifier improves the performance of K-means clustering. The results show that the developed hybrid model provides better IDS.
UR - https://www.scopus.com/pages/publications/47649109177
UR - https://www.scopus.com/pages/publications/47649109177#tab=citedBy
U2 - 10.1109/ADCOM.2006.4289875
DO - 10.1109/ADCOM.2006.4289875
M3 - Conference contribution
AN - SCOPUS:47649109177
SN - 142440715X
SN - 9781424407156
T3 - Proceedings - 2006 14th International Conference on Advanced Computing and Communications, ADCOM 2006
SP - 163
EP - 165
BT - Proceedings - 2006 14th International Conference on Advanced Computing and Communications, ADCOM 2006
T2 - 14th International Conference on Advanced Computing and Communications, ADCOM 2006
Y2 - 20 December 2006 through 23 December 2006
ER -