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arXiv (Cornell University)
Deep Neural Networks based Meta-Learning for Network Intrusion Detection
February 2023 • Anabia Sohail, Bibi Ayisha, Irfan Hameed, Muhammad Mohsin Zafar, Asifullah Khan
The digitization of different components of industry and inter-connectivity among indigenous networks have increased the risk of network attacks. Designing an intrusion detection system to ensure security of the industrial ecosystem is difficult as network traffic encompasses various attack types, including new and evolving ones with minor changes. The data used to construct a predictive model for computer networks has a skewed class distribution and limited representation of attack types, which differ from real n…
Computer Science
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Machine Learning
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Deep Learning
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