Chapter 1 DATA MINING FOR INTRUSION DETECTION A Critical Review

Abstract Data mining techniques have been successfully applied in many differ-ent fields including marketing, manufacturing, process control, fraud detection, and network management. Over the past five years, a grow-ing number of research projects have applied data mining to various problems in intrusion detection. This chapter surveys a representative cross section of these research efforts. Moreover, four characteristics of contemporary research are identified and discussed in a critical manner. Conclusions are drawn and directions for future research are suggested. Note: This article is an excerpt of the original work published in D. Barbara ́ and S. Jajodia