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Smart city article details

Title	Analysis Of Network Attack Detection Based On Internet Of Things Network Traffic
ID_Doc	9232
Authors	Zhang J.
Year	2023
Published	Lecture Notes on Data Engineering and Communications Technologies, 155
DOI	http://dx.doi.org/10.1007/978-981-19-9373-2_81
Abstract	With the development of Internet, cloud computing, and other technologies, the Internet of Things is used in more and more fields, and many aspects of smart cities also use the Internet of Things technology. The combination of anomaly detection with artificial intelligence technology such as machine learning and deep learning is an important branch in the field of network security. As a means of detecting advanced threats, traffic analysis technology combines artificial intelligence, big data, and other technologies to model traffic, analyze traffic behavior, identify and detect abnormal traffic, and provide important technical support for network planning, network optimization, and network monitoring. The harm caused by network attack is becoming more and more serious. How to identify and protect quickly, accurately, and comprehensively before being attacked is of great practical significance to ensure the safe operation of information system, and reduce economic losses. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Author Keywords	Anomaly Detection; Classification Problem; Feature Selection; Intrusion Detection; Time Series

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