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引用“”的文章A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks

标题/作者	年份
Deep learning for anomaly detection: A survey R Chalapathy, S Chawla arXiv preprint arXiv:1901.03407	2019
Deep learning approach for intelligent intrusion detection system R Vinayakumar, M Alazab, KP Soman, P Poornachandran, A Al-Nemrat, ... Ieee Access 7, 41525-41550	2019
Machine learning and deep learning methods for cybersecurity Y Xin, L Kong, Z Liu, Y Chen, Y Li, H Zhu, M Gao, H Hou, C Wang Ieee access 6, 35365-35381	2018
Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study MA Ferrag, L Maglaras, S Moschoyiannis, H Janicke Journal of Information Security and Applications 50, 102419	2020
A survey of deep learning methods for cyber security DS Berman, AL Buczak, JS Chavis, CL Corbett Information 10 (4), 122	2019
Convolutional neural network: a review of models, methodologies and applications to object detection A Dhillon, GK Verma Progress in Artificial Intelligence 9 (2), 85-112	2020
Deep learning approach combining sparse autoencoder with SVM for network intrusion detection M Al-Qatf, Y Lasheng, M Al-Habib, K Al-Sabahi Ieee Access 6, 52843-52856	2018
Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues A Aldweesh, A Derhab, AZ Emam Knowledge-Based Systems 189, 105124	2020
Identification of malicious activities in industrial internet of things based on deep learning models ALH Muna, N Moustafa, E Sitnikova Journal of information security and applications 41, 1-11	2018
A holistic review of network anomaly detection systems: A comprehensive survey N Moustafa, J Hu, J Slay Journal of Network and Computer Applications 128, 33-55	2019
A novel intrusion detection model for a massive network using convolutional neural networks K Wu, Z Chen, W Li Ieee Access 6, 50850-50859	2018
A novel two-stage deep learning model for efficient network intrusion detection FA Khan, A Gumaei, A Derhab, A Hussain IEEE Access 7, 30373-30385	2019
Intrusion detection for IoT based on improved genetic algorithm and deep belief network Y Zhang, P Li, X Wang IEEE Access 7, 31711-31722	2019
Application of deep learning to cybersecurity: A survey S Mahdavifar, AA Ghorbani Neurocomputing 347, 149-176	2019
DeepCoin: A novel deep learning and blockchain-based energy exchange framework for smart grids MA Ferrag, L Maglaras IEEE Transactions on Engineering Management 67 (4), 1285-1297	2019
Deep learning-based intrusion detection with adversaries Z Wang IEEE Access 6, 38367-38384	2018
Cybersecurity data science: an overview from machine learning perspective IH Sarker, ASM Kayes, S Badsha, H Alqahtani, P Watters, A Ng Journal of Big data 7 (1), 1-29	2020
A survey of edge computing-based designs for IoT security K Sha, TA Yang, W Wei, S Davari Digital Communications and Networks 6 (2), 195-202	2020
An intrusion detection model based on feature reduction and convolutional neural networks Y Xiao, C Xing, T Zhang, Z Zhao IEEE Access 7, 42210-42219	2019
Network intrusion detection system: A systematic study of machine learning and deep learning approaches Z Ahmad, A Shahid Khan, C Wai Shiang, J Abdullah, F Ahmad Transactions on Emerging Telecommunications Technologies 32 (1), e4150	2021

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