Results 71 to 80 of about 119,256 (176)
TechnologiesMachine learning is regarded as an effective approach in network intrusion detection, and has gained significant attention in recent studies. However, few intrusion detection methods have been successfully applied to detect anomalies in large-scale ...
Jinrong Wu +3 more
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Data Pre-Processing and Classification for Traffic Anomaly Intrusion Detection Using NSLKDD Dataset
Cybernetics and Information Technologies, 2018 Network security is essential in the Internet world. Intrusion Detection is one of the network security components. Anomaly Intrusion Detection is a type of intrusion detection that captures the intrinsic characteristics of normal data and uses it in the
Gnanaprasanambikai L. +1 more
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Bayesian Networks for Network Intrusion Detection
, 2010 As the use of Internet grows beyond all boundaries, the number of menaces rises to become subject of concern and increasing research. Against this, Network Intrusion Detection Systems (NIDS) monitor local networks to separate legitimate from dangerous behaviours. According to their capabilities and goals, NIDS are divided into misuse detection systems (
G., Bringas, Pablo, Igor, Santos,
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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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Network Intrusion Detection Based on Machine Learning Classification Algorithms: A Review
JISA (Jurnal Informatika dan Sains)The worldwide internet continues to spread, presenting numerous escalating hazards with significant potential. Existing static detection systems necessitate frequent updates to signature-based databases and solely detect known malicious threats.
Aqeel Hanash Younis +1 more
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Research on industrial control system intrusion detection method based on simulation modelling
Tongxin xuebao, 2017 At present,intrusion detection system over fieldbus network layer was a basic protection method in industrial control system.However,it has some weakness,such as poor generality,high false-positive rate,and unable to detect unknown anomaly.An industrial ...
Yi-wei GAO +5 more
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Research on Virus Propagation Network Intrusion Detection Based on Graph Neural Network
MathematicsThe field of network security is highly concerned with intrusion detection, which safeguards the security of computer networks. The invention and application of intrusion detection technology play indispensable roles in network security, and it is ...
Xianer Ying +7 more
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Results in EngineeringWith the rapid development of computers and the Internet, university networks are facing more and more network intrusion threats, and it is necessary to develop an automatic detection method based on neural network algorithms.
Houdun Xu
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Anomaly based network intrusion detection
, 2023 Ao longo dos últimos anos, a segurança de hardware e software tornou-se uma grande preocupação. À medida que a complexidade dos sistemas aumenta, as suas vulnerabilidades a sofisticadas técnicas de ataque têm proporcionalmente escalado. Frequentemente o problema reside na heterogenidade de dispositivos conectados ao veículo, tornando difícil a ...
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Network security & intrusion detection
, 2002 The scope of this project is to focus on the common Internet Infrastructures flaws, discuss a number of attacking methods and provide simple solutions on the ways to defend the network. Master of Science (Communications Engineering)
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