TIBS: A Deep-Learning Model for Network Intrusion Detection for SDN Environments
Author:
Affiliation:
1. Ministry of Education, Qilu University of Technology (Shandong Academy of Sciences),Key Laboratory of Computing Power Network and Information Security, Shandong Computer Science Center (National Supercomputer Center in Jinan),Jinan,China
Funder
National Key R&D Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10602771/10602729/10603223.pdf?arnumber=10603223
Reference25 articles.
1. ML‐IDSDN: Machine learning based intrusion detection system for software‐defined network
2. An unsupervised and hierarchical intrusion detection system for software-defined wireless sensor networks
3. An Efficient Deep Learning Approach for Network Intrusion Detection System on Software Defined Network
4. Deep learning
5. Machine Learning and Deep Learning Methods for Intrusion Detection Systems: A Survey
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