Results 21 to 30 of about 53,015 (296)
An improved bio-inspired based intrusion detection model for a cyberspace
Cogent Engineering, 2021 Bio-inspired intrusion detection solutions provide better detection accuracy than conventional solutions in securing cyberspace. However, existing bio-inspired anomaly-based intrusion detection systems are still faced with challenges of high false ...
Samera Uga Otor +4 more
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Sensors, 2022 As the range of security attacks increases across diverse network applications, intrusion detection systems are of central interest. Such detection systems are more crucial for the Internet of Things (IoT) due to the voluminous and sensitive data it ...
Shapla Khanam +3 more
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Deep Stacking Network for Intrusion Detection
Sensors, 2021 Preventing network intrusion is the essential requirement of network security. In recent years, people have conducted a lot of research on network intrusion detection systems.
Yifan Tang, Lize Gu, Leiting Wang
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Intrusion Detection in SCADA Systems
, 2014 The protection of the national infrastructures from cyberattacks is one of the main issues for national and international security. The funded European Framework-7 (FP7) research project CockpitCI introduces intelligent intrusion detection, analysis and protection techniques for Critical Infrastructures (CI).
Leandros A. Maglaras, Jianmin Jiang
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Tongxin xuebao, 2023 In the mobile edge computing (MEC) environment, the resources of edge nodes are limited.It is difficult to detect the intrusion process accurately, and there is no effective intrusion response strategy to deal with external intrusions.An intrusion ...
Wei FAN +3 more
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Towards a Scalable and Adaptive Learning Approach for Network Intrusion Detection
Journal of Computer Networks and Communications, 2021 This paper introduces a new integrated learning approach towards developing a new network intrusion detection model that is scalable and adaptive nature of learning. The approach can improve the existing trends and difficulties in intrusion detection. An
Alebachew Chiche, Million Meshesha
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Network Intrusion Detection [PDF]
, 2011 Attacks against computers and the Internet are in the news every week. These primarily take the form of malicious code such as viruses and worms, or denial of service attacks. Less commonly reported are attacks which gain access to computers, either for the purpose of producing damage (such as defacing web sites or deleting data) or for the ...
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IEEE Access, 2018 Intrusion detection is a fundamental part of security tools, such as adaptive security appliances, intrusion detection systems, intrusion prevention systems, and firewalls.
Iftikhar Ahmad +3 more
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Multi-objective optimization algorithms for intrusion detection in IoT networks: A systematic review
Internet of Things and Cyber-Physical SystemsThe significance of intrusion detection systems in networks has grown because of the digital revolution and increased operations. The intrusion detection method classifies the network traffic as threat or normal based on the data features.
Shubhkirti Sharma +2 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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