SecureDeepNet-IoT: A deep learning application for invasion detection in industrial Internet of Things sensing systems
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[1] Salah El Hadaj,et al. A Two-Stage Classifier Approach using RepTree Algorithm for Network Intrusion Detection , 2017 .
[2] Yoshua Bengio,et al. Greedy Layer-Wise Training of Deep Networks , 2006, NIPS.
[3] Yee Whye Teh,et al. A Fast Learning Algorithm for Deep Belief Nets , 2006, Neural Computation.
[4] Arafat Awajan,et al. Experimental Evaluation of a Multi-layer Feed-Forward Artificial Neural Network Classifier for Network Intrusion Detection System , 2017, 2017 International Conference on New Trends in Computing Sciences (ICTCS).
[5] M. A. Novotny,et al. An evaluation of the performance of Restricted Boltzmann Machines as a model for anomaly network intrusion detection , 2018, Comput. Networks.
[6] Joe Cunningham,et al. The industrial internet of things (IIoT): An analysis framework , 2018, Comput. Ind..
[7] Christian Diedrich,et al. Convolutional Neural Networks for Multi-class Intrusion Detection System , 2018, MIKE.
[8] K. P. Soman,et al. Deep Learning Approach for Intelligent Intrusion Detection System , 2019, IEEE Access.
[9] Wei Wang,et al. Generalized Autoencoder: A Neural Network Framework for Dimensionality Reduction , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[10] Wei Wei,et al. Ensemble machine learning approaches for webshell detection in Internet of things environments , 2020, Trans. Emerg. Telecommun. Technol..
[11] Novruz Allahverdi,et al. Deep Learning on Computerized Analysis of Chronic Obstructive Pulmonary Disease , 2020, IEEE Journal of Biomedical and Health Informatics.
[12] Mohamed Idhammad LabSIV. DoS Detection Method based on Artificial Neural Networks , 2017 .
[13] Nour Moustafa,et al. UNSW-NB15: a comprehensive data set for network intrusion detection systems (UNSW-NB15 network data set) , 2015, 2015 Military Communications and Information Systems Conference (MilCIS).
[14] Salim Hariri,et al. Anomaly behavior analysis for IoT sensors , 2018, Trans. Emerg. Telecommun. Technol..
[15] Yanpeng Zhang,et al. A novel method for network traffic classification based on robust support vector machine , 2020, Trans. Emerg. Telecommun. Technol..
[16] Imad H. Elhajj,et al. A machine learning based framework for IoT device identification and abnormal traffic detection , 2019, Trans. Emerg. Telecommun. Technol..
[17] Shahram Babaie,et al. A hybrid intrusion detection system based on ABC-AFS algorithm for misuse and anomaly detection , 2018, Comput. Networks.
[18] Dandan Liu,et al. DL-IDS: a deep learning-based intrusion detection framework for securing IoT , 2019, Trans. Emerg. Telecommun. Technol..
[19] Guangming Xian,et al. Cyber Intrusion Prevention for Large-Scale Semi-Supervised Deep Learning Based on Local and Non-Local Regularization , 2020, IEEE Access.
[20] Parvez Faruki,et al. Network Intrusion Detection for IoT Security Based on Learning Techniques , 2019, IEEE Communications Surveys & Tutorials.
[21] Yoshua Bengio,et al. Extracting and composing robust features with denoising autoencoders , 2008, ICML '08.
[22] Yakup Kutlu,et al. Generative Autoencoder Kernels on Deep Learning for Brain Activity Analysis , 2018, Natural and Engineering Sciences.
[23] Miguel Nicolau,et al. Learning Neural Representations for Network Anomaly Detection , 2019, IEEE Transactions on Cybernetics.
[24] Nour Moustafa,et al. Identification of malicious activities in industrial internet of things based on deep learning models , 2018, J. Inf. Secur. Appl..
[25] Niraj K. Jha,et al. A Comprehensive Study of Security of Internet-of-Things , 2017, IEEE Transactions on Emerging Topics in Computing.
[26] Soheil Hashemi,et al. Internet of Things backdoors: Resource management issues, security challenges, and detection methods , 2020, Trans. Emerg. Telecommun. Technol..
[27] Chee Kheong Siew,et al. Extreme learning machine: Theory and applications , 2006, Neurocomputing.
[28] Song Han,et al. Industrial Internet of Things: Challenges, Opportunities, and Directions , 2018, IEEE Transactions on Industrial Informatics.
[29] Kim-Kwang Raymond Choo,et al. An Ensemble Intrusion Detection Technique Based on Proposed Statistical Flow Features for Protecting Network Traffic of Internet of Things , 2019, IEEE Internet of Things Journal.