%0 Conference Proceedings
%T A Hybrid System for Reducing Memory and Time Overhead of Intrusion Detection System
%+ Konkuk University [Seoul]
%A Chen, Zhi-Guo
%A Kim, Sung-Ryul
%Z Part 2: The 2014 Asian Conference on Availability, Reliability and Security, AsiaARES 2014
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 2nd Information and Communication Technology - EurAsia Conference (ICT-EurAsia)
%C Bali, Indonesia
%Y David Hutchison
%Y Takeo Kanade
%Y Bernhard Steffen
%Y Demetri Terzopoulos
%Y Doug Tygar
%Y Gerhard Weikum
%Y Linawati
%Y Made Sudiana Mahendra
%Y Erich J. Neuhold
%Y A Min Tjoa
%Y Ilsun You
%Y Josef Kittler
%Y Jon M. Kleinberg
%Y Alfred Kobsa
%Y Friedemann Mattern
%Y John C. Mitchell
%Y Moni Naor
%Y Oscar Nierstrasz
%Y C. Pandu Rangan
%I Springer
%3 Information and Communication Technology
%V LNCS-8407
%P 386-395
%8 2014-04-14
%D 2014
%R 10.1007/978-3-642-55032-4_38
%K Intrusion Detection System
%K Principal Component Analysis Algorithm
%K C4.5 Algorithm
%K Time Overhead and Memory Overhead
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X With the growing use of the internet worldwide, internet security becomes more and more important. There are many techniques available for intrusion detection. However, there remain various issues to be improved, such as detection rate, false positive rate, memory overhead, time overhead, and so on. In this paper, a new hybrid system for network intrusion detection system using principal component analysis and C4.5 is presented, which has a good detection rate and keeps false positive and false negative rate at an acceptable level for different types of network attacks. Especially, this system can effectively reduce the memory overhead and the time overhead of building the intrusion detection model. These claims are verified by experimental results on the KDD Cup 99 benchmark network intrusion detection dataset.
%G English
%Z TC 5
%Z TC 8
%2 https://inria.hal.science/hal-01397238/document
%2 https://inria.hal.science/hal-01397238/file/978-3-642-55032-4_38_Chapter.pdf
%L hal-01397238
%U https://inria.hal.science/hal-01397238
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-TC8
%~ IFIP-ICT-EURASIA
%~ IFIP-LNCS-8407