Alebachew Chiche, Million Meshesha

An Intelligent Network Intrusion Detection and Prevention System

The way forward to integrate Data mining and Knowledge Based System for network intrusion detection and prevention

• Broschiertes Buch

Produktbeschreibung

With the wide use of Internet and network connectivity, it is important to prevent unauthorized access to system resources and data. In this work, an intelligent network intrusion detection and prevention system is presented for detecting and preventing network attacks that incorporates a knowledge based system and data mining techniques. Hybrid data mining process model is followed for data mining tasks to extract hidden knowledge from KDDCup'99 intrusion dataset. J48 decision tree, JRip rule induction, Naïve Bayes and Multilayer Perceptron (MLP) Neural Network are adopted to construct a predictive model on total datasets of 63, 661 instances. This work supports network administrators to fill the knowledge gap they have to detect and prevent network attacks efficiently and effectively. Experimental result shows that, the proposed system performs 91.43 percent and 83 percent detection accuracy and user acceptance, respectively. The system cannot update the knowledge of preventiontechniques automatically which need further researches.

Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Seitenzahl: 144
• Erscheinungstermin: 11. Dezember 2017
• Englisch
• Abmessung: 220mm x 150mm x 9mm
• Gewicht: 209g
• ISBN-13: 9786202076227
• ISBN-10: 6202076224
• Artikelnr.: 50544099

Autorenporträt

Alebachew Chiche received a B.Sc. degree in Information Systems from Hawassa University in 2012 and his M.Sc. degrees in computer networking from Jimma University in 2016. He is a Lecturer of Information Systems at Mizan-Tepi University. He is currently serving a term as Head of the Department of Information Systems.