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Research on Intrusion Detection Based on User Portrait Technology [PDF]
MATEC Web of Conferences, 2022 Under the big data scene, the intrusion detection technology has some problems, such as weak data processing ability, difficulty of precise location and so on.
Wang Zhenduo
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CSI-based passive intrusion detection bound estimation in indoor NLoS scenario
Fundamental Research, 2023 Passive intrusion detection is important for many indoor safety applications. By utilizing widespread WiFi infrastructures, channel state information (CSI) based intrusion detection methods have attractive advantages such as low cost, non-line-of-sight ...
Linqing Gui, Wenyang Yuan, Fu Xiao
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Wireless Network Intrusion Detection Algorithm Based on Multiple Perspectives Hierarchical Clustering [PDF]
Jisuanji kexue yu tansuo, 2022 Aiming at the problems of high false detection rate, difficult to find unknown attack behavior and high cost of obtaining marked data in existing wireless network intrusion detection algorithms based on supervised learning, this paper proposes an ...
DONG Xinyu, XIE Bin, ZHAO Xusheng, GAO Xinbao
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International Journal of Distributed Sensor Networks, 2021 Intrusion detection systems play a vital role in traffic flow monitoring on Internet of Things networks by providing a secure network traffic environment and blocking unwanted traffic packets.
Erman Özer +2 more
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IEEE Access, 2023 Network intrusion detection is an important technology in national cyberspace security strategy and has become a research hotspot in various cyberspace security issues in recent years.
Li Zou +4 more
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Digital Communications and Networks, 2023 With the rapid development of the Internet of Things (IoT), there are several challenges pertaining to security in IoT applications. Compared with the characteristics of the traditional Internet, the IoT has many problems, such as large assets, complex ...
Haifeng Lin +3 more
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Intrusion Detection Method Based on Denoising Autoencoder and Three-way Decisions [PDF]
Jisuanji kexue, 2021 Intrusion detection plays a vital role in computer network security.Intrusion detection is one of the key technologies of network security and needs to be kept under constant attention.As the network environment becomes more and more complex,network ...
ZHANG Shi-peng, LI Yong-zhong
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Autonomic Parameter Tuning of Anomaly-Based IDSs: an SSH Case Study [PDF]
, 2012 Anomaly-based intrusion detection systems classify network traffic instances by comparing them with a model of the normal network behavior. To be effective, such systems are expected to precisely detect intrusions (high true positive rate) while limiting
Boer, Pieter-Tjerk de +4 more
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Towards an effective deep learning-based intrusion detection system in the internet of things
Telematics and Informatics Reports, 2022 Distributed Sensor Networks play a vital role in the day-to-day world of computing applications, from the cloud to the Internet of Things (IoT). These computing applications devices are normally attached with the microcontrollers like Sensors, actuators,
Pampapathi B M +2 more
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HDLNIDS: Hybrid Deep-Learning-Based Network Intrusion Detection System
Applied Sciences, 2023 Attacks on networks are currently the most pressing issue confronting modern society. Network risks affect all networks, from small to large. An intrusion detection system must be present for detecting and mitigating hostile attacks inside networks ...
Emad Ul Haq Qazi +2 more
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