International Journal of Industrial Electronics and Electrical Engineering(IJIEEE).
Paper Title - Optimization Of IDS Algorithms Using Data Mining Technique
The continuous development and rapid expansion of World Wide Web and local network systems have changed
the computing world in the last decade. With the rapid expansion of computer networks during the past decade, security has
become a crucial issue for computer systems. It is the IDS which protect to our computer network. Different classification
and clustering algorithms have been proposed in recent years for the implementation of intrusion detection systems. In this
paper, multiple algorithms are analyzed to find the optimal algorithm. Then we reduce the time complexity of optimal
algorithm by eliminating some features without altering the efficiency.
Index Terms- Data Mining, Intrusion Detection, Attribute, Classification And Clustering Algorithm, Time Complexity,