A novel transfer extreme learning machine from multiple sources for intrusion detection
Kunpeng Wang,
Jingmei Li,
Weifei Wu
Abstract:Intrusion detection systems (IDSs), as a technology to protect networks from attacks, play a pivotal role in ensuring computer system and network security. Machine learning has been widely used for intrusion detection and achieves good results. Machine learning-based intrusion detection technology requires a large number of labeled data training models, test data and training data to create independent and identical distributions. However, in reality, data distributions are difficult to make consistent, and th… Show more
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