%0 Journal Article %A Krishnamoorthi Makkithaya and N. V. Subba Reddy and U. Dinesh Acharya %D 2008 %J International Journal of Computer and Information Engineering %B World Academy of Science, Engineering and Technology %I Open Science Index 18, 2008 %T Improved C-Fuzzy Decision Tree for Intrusion Detection %U https://publications.waset.org/pdf/15151 %V 18 %X As the number of networked computers grows, intrusion detection is an essential component in keeping networks secure. Various approaches for intrusion detection are currently being in use with each one has its own merits and demerits. This paper presents our work to test and improve the performance of a new class of decision tree c-fuzzy decision tree to detect intrusion. The work also includes identifying best candidate feature sub set to build the efficient c-fuzzy decision tree based Intrusion Detection System (IDS). We investigated the usefulness of c-fuzzy decision tree for developing IDS with a data partition based on horizontal fragmentation. Empirical results indicate the usefulness of our approach in developing the efficient IDS. %P 1903 - 1907