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Autoencoder-based deep metric learning for network intrusion detection
Information Sciences, 2021Giuseppina Andresini +2 more
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Intrusion Detection in Wireless Sensor Networks.
2007There are several applications that use sensor motes and researchers continue to explore additional applications. For the intruder detection application, we use a set of Berkley mica2 motes on TinyOS operating system. Different types of sensors such as pressure, light, and so on can be used to identify the presence of an intruder in the field.
Nguyen, Hong N. +4 more
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Comparative research on network intrusion detection methods based on machine learning
Computers and Security, 2022Chunying Zhang +2 more
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A federated learning method for network intrusion detection
Concurrency Computation Practice and Experience, 2022Zhongyun Tang +2 more
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An intelligent and efficient network intrusion detection system using deep learning
Computers and Electrical Engineering, 2022Muhammad Imran +2 more
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A systematic literature review of methods and datasets for anomaly-based network intrusion detection
Computers and Security, 2022Tong Li, Jinjiang Wang, Yunwei Zhao
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A Survey of MANET Intrusion Detection & Prevention Approaches for Network Layer Attacks
IEEE Communications Surveys and Tutorials, 2013Adnan Nadeem
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Robust detection for network intrusion of industrial IoT based on multi-CNN fusion
Measurement: Journal of the International Measurement Confederation, 2020Yingying Xu, Zhi Liu, Yang Xin
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