Feature Selection For Intrusion Detection Systems: Using data mining techniques

Feature Selection For Intrusion Detection Systems: Using data mining techniques

von Gulshan Kumar, Krishan Kumar, Yogesh Kumar
Taschenbuch - 9783659515101
54,90 €
  • Versandkostenfrei
  • Hinweis: Print on Demand. Lieferbar innerhalb von 7 bis 10 Tagen
  • inkl. MwSt. & Versandkosten (innerhalb Deutschlands)
  • Hinweis: Print on Demand. Lieferbar innerhalb von 7 bis 10 Tagen
  • inkl. MwSt. & Versandkosten (innerhalb Deutschlands)

Autorenfreundlich Bücher kaufen?!

Beschreibung

Network security is a serious global concern. The increasing prevalence of malware and incidents of attacks hinders the utilization of the Internet to its greatest benefit and incur significant economic losses. The traditional approaches in securing systems against threats are designing mechanisms that create a protective shield, almost always with vulnerabilities. This has created Intrusion Detection Systems to be developed that complement traditional approaches. However, with the advancement of computer technology, the behavior of intrusions has become complex that makes the work of security experts hard to analyze and detect intrusions. In order to address these challenges, data mining techniques have become a possible solution. However, the performance of data mining algorithms is affected when no optimized features are provided. This is because, complex relationships can be seen as well between the features and intrusion classes contributing to high computational costs in processing tasks, subsequently leads to delays in identifying intrusions. Feature selection is thus important in detecting intrusions by allowing the data mining system to focus on what is really important.

Details

Verlag LAP Lambert Academic Publishing
Ersterscheinung Nicht bekannt Nicht bekannt
Maße 220 mm x 150 mm x 6 mm
Gewicht 165 Gramm
Format Taschenbuch
ISBN-13 9783659515101
Auflage Nicht bekannt
Seiten 100

Schlagwörter