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Full-Text Articles in Engineering
Overview Of Digital Twins Application And Safe Development, Li Xin, Liu Xiu, Xinxin Wan
Overview Of Digital Twins Application And Safe Development, Li Xin, Liu Xiu, Xinxin Wan
Journal of System Simulation
Abstract: The Digital Twins simulate the whole process of the manufacture, and promote the development of smart manufacturing and other fields. In view of the rapid development and application of Digital Twins, the concept and history of Digital Twins are outlined, and its related technology system is given. The main application and development trend of Digital Twins in intelligent manufacturing as while as the main characters of Digital Twins in smart cities are combed. The cyber security problem of Digital Twins is discussed for intelligent manufacturing and smart cities. The scheme and suggestion are given for ensuring the cyber security …
Comparative Study Of Deep Learning Models For Network Intrusion Detection, Brian Lee, Sandhya Amaresh, Clifford Green, Daniel Engels
Comparative Study Of Deep Learning Models For Network Intrusion Detection, Brian Lee, Sandhya Amaresh, Clifford Green, Daniel Engels
SMU Data Science Review
In this paper, we present a comparative evaluation of deep learning approaches to network intrusion detection. A Network Intrusion Detection System (NIDS) is a critical component of every Internet connected system due to likely attacks from both external and internal sources. A NIDS is used to detect network born attacks such as Denial of Service (DoS) attacks, malware replication, and intruders that are operating within the system. Multiple deep learning approaches have been proposed for intrusion detection systems. We evaluate three models, a vanilla deep neural net (DNN), self-taught learning (STL) approach, and Recurrent Neural Network (RNN) based Long Short …