شماره ركورد كنفرانس :
3779
عنوان مقاله :
Incrementally Feature Analysis of KDDCUP’99 Using Genetic Algorithm for Intrusion Detection System
پديدآورندگان :
Atefi Kayvan k.atefi@ieee.org University Technology Mara (UiTM)Shah Alam, Malaysia , chaghai Majid m_chaghai@yahoo.com Science and Research Branch, Islamic Azad University,Kermanshah, Iran , Shahin Amir Hossein Amir.shaahin@gmail.com University Technology Mara (UiTM)Shah Alam, Malaysia , Atefi Arash arash_atefi@yahoo.com Science and Research Branch, Islamic Azad University,Kermanshah, Iran
كليدواژه :
Intrusion Detection System , IDS , GeneticAlgorithm , GA
عنوان كنفرانس :
اولين كنفرانس بين المللي فناوري و انرژي سبز
چكيده فارسي :
Nowadays, with the network development,
secured information communication has becoming
more vulnerable because of threats from unknown
sources and therefore the requirement for secured
information assumes greater importance. With rapid
growth of unauthorized activities in network, Intrusion
Detection (ID) as a component of defense is very
necessary because traditional firewall techniques
cannot provide complete protection against intrusion.
There are numerous studies in intrusion detection
system (IDS) especially with Genetic algorithms (GA)
and Kddcup’99 Dataset but most of them did not get
the potential Accuracy to detect intrusion using GA.
Hence this study aims to Incrementally Feature
Analysis of Kddcup’99 Using GA for IDS with high
accuracy to detecting intrusion
