An improved intrusion detection approach using synthetic minority over-sampling technique and deep belief network
This paper presents a network intrusion detection technique based on Synthetic Minority Over-Sampling Technique (SMOTE) and Deep Belief Network (DBN) applied to a class imbalance KDD-99 dataset. SMOTE is used to eliminate the class imbalance problem while intrusion classification is performed using...
| Main Authors: | Adil, S.H., Ali, S.S.A., Raza, K., Hussaan, A.M. |
|---|---|
| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.31728 / |
| Published: |
IOS Press
2014
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84948783277&doi=10.3233%2f978-1-61499-434-3-94&partnerID=40&md5=95f8ccf40d3162ffa742623976dd0f66 http://eprints.utp.edu.my/31728/ |
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