Results 11 to 20 of about 119,256 (176)
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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Intrusion Detection Quantum Sensor Networks
Sensors, 2022 This paper proposes a perimeter detection scheme based on the quantum physical properties of photons. Existing perimeter intrusion detection schemes, if using light, rely on the classical properties of light only. Our quantum sensor network uses the quantum property of spatial superposition of photons, meaning that a photon can simultaneously follow ...
Marius Nagy, Naya Nagy
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Acta Infologica, 2023 The threat of network intrusion has become much more severe due to the increasing network flow. Therefore, network intrusion detection is one of the most concerned areas of network security.
Ahmet Okan Arık +1 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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SSHCure: a flow-based SSH intrusion detection system [PDF]
, 2012 SSH attacks are a main area of concern for network managers, due to the danger associated with a successful compromise. Detecting these attacks, and possibly compromised victims, is therefore a crucial activity.
Hellemons, Laurens +6 more
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A Bagging Strategy-Based Kernel Extreme Learning Machine for Complex Network Intrusion Detection [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2021 Network intrusion can enter the network through informal channels. Some illegal users utilize Trojans and self-programmed attack to change the network security system, so that the system loses the defense and alarm function and the Hacker ...
Shoulin Yin +4 more
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CNID: Research of Network Intrusion Detection Based on Convolutional Neural Network
Discrete Dynamics in Nature and Society, 2020 Network intrusion detection system can effectively detect network attack behaviour, which is very important to network security. In this paper, a multiclassification network intrusion detection model based on convolutional neural network is proposed, and
Guojie Liu, Jianbiao Zhang
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IEEE Access, 2020 In this paper, an intrusion detection system is introduced that uses data mining and machine learning concepts to detect network intrusion patterns. In the proposed method, an artificial neural network (ANN) is used as a learning technique in intrusion ...
Shadi Moghanian +3 more
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Remote Sensing, 2023 With the rapid development of the Internet of Things (IoT)-based near-Earth remote sensing technology, the problem of network intrusion for near-Earth remote sensing systems has become more complex and large-scale.
Yalu Wang +6 more
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A new intrusion detection and alarm correlation technology based on neural network
EURASIP Journal on Wireless Communications and Networking, 2019 With the continuous development of computer networks, the security of the network has become increasingly prominent. A major threat to network security is the intrusion of information systems through the network.
Yansong Liu, Li Zhu
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