By Florez G., Bridges S.M., Vaughn R.B.
We've been utilizing fuzzy info mining ideas to extract styles that characterize general habit for intrusion detection. during this paper we describe a number of differences that we have got made to the information mining algorithms to be able to enhance accuracy and potency. We use units of fuzzy organization ideas which are mined from community audit information as versions of "normal habit. To notice anomalous habit, wegenerate fuzzy organization ideas from new audit info and compute the similarity with units mined from "normal" info. If the similarity values are under a threshold worth, an alarm isissued. during this paper we describe an set of rules for computing fuzzy organization principles in line with Borgelt's prefix bushes, alterations to the computation of aid and self belief offuzzy principles, a brand new procedure for computing the similarity of 2 fuzzy rule units, and have choice and optimization with genetic algorithms. Experimental effects display that we will be able to in attaining greater operating time and accuracy with those changes.
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Additional resources for An Improved Algorithm for Fuzzy Data Mining for Intrusion Detection
OLE DB makes accessing data a bit simpler—more Spanish than Swahili, so still not English, but easier to learn. It also doesn’t presuppose that the data source is a database, as ODBC does. OLE DB was pretty successful and is still supported by several vendors including Microsoft, which decided that OLE DB would be the cornerstone for its Universal Data Access (UDA) strategy. One of the aims of UDA was to bring an object-oriented interface to ODBC and OLE DB, which were procedural in nature—more C than C++ or Visual Basic (VB).
As you’ll see in Chapter 4, if you look at the real code, the actual calls you make are identical, which means the only things that change between different interfaces are the namespace to use and the names of the objects being used. The same is true if you want to use the native access method for SQL Server. SqlClient" %>