Model fusion of deep neural networks for anomaly detection
暂无分享,去创建一个
H. A. Karim | Nouar AlDahoul | H. Abdul Karim | Abdulaziz Saleh Ba Wazir | Nouar Aldahoul | A. Wazir
[1] Thomas Bäck,et al. Hyperparameter Optimisation for Improving Classification under Class Imbalance , 2019, 2019 IEEE Symposium Series on Computational Intelligence (SSCI).
[2] Christian Callegari,et al. Combining sketches and wavelet analysis for multi time-scale network anomaly detection , 2011, Comput. Secur..
[3] Marina Thottan,et al. Anomaly Detection Approaches for Communication Networks , 2010, Algorithms for Next Generation Networks.
[4] VARUN CHANDOLA,et al. Anomaly detection: A survey , 2009, CSUR.
[5] Karim Afdel,et al. Distributed Intrusion Detection System for Cloud Environments based on Data Mining techniques , 2018 .
[6] Muhammad Ashfaq Khan,et al. HCRNNIDS: Hybrid Convolutional Recurrent Neural Network-Based Network Intrusion Detection System , 2021, Processes.
[7] Jun Feng,et al. Network Attacks Detection Methods Based on Deep Learning Techniques: A Survey , 2020, Secur. Commun. Networks.
[8] 김선경,et al. 1999 , 2000, Les 25 ans de l’OMC: Une rétrospective en photos.
[9] Sylvio Barbon Junior,et al. Anomaly detection using the correlational paraconsistent machine with digital signatures of network segment , 2017, Inf. Sci..
[10] Shigeo Abe DrEng. Pattern Classification , 2001, Springer London.
[11] Taeshik Shon,et al. A hybrid machine learning approach to network anomaly detection , 2007, Inf. Sci..
[12] Mohiuddin Ahmed,et al. A survey of network anomaly detection techniques , 2016, J. Netw. Comput. Appl..
[13] Hamid H. Jebur,et al. Machine Learning Techniques for Anomaly Detection: An Overview , 2013 .
[14] Thomas Bäck,et al. Improving Imbalanced Classification by Anomaly Detection , 2020, PPSN.
[15] Francisco Herrera,et al. Learning from Imbalanced Data Sets , 2018, Springer International Publishing.
[16] Jiankun Hu,et al. A novel statistical technique for intrusion detection systems , 2018, Future Gener. Comput. Syst..
[17] Carlos García Garino,et al. An autonomous labeling approach to support vector machines algorithms for network traffic anomaly detection , 2012, Expert Syst. Appl..
[18] Sylvio Barbon Junior,et al. Correlational paraconsistent machine for anomaly detection , 2014, 2014 IEEE Global Communications Conference.
[19] Jinoh Kim,et al. A survey of deep learning-based network anomaly detection , 2017, Cluster Computing.
[20] Jugal K. Kalita,et al. Network Anomaly Detection: Methods, Systems and Tools , 2014, IEEE Communications Surveys & Tutorials.
[21] Hongyu Liu,et al. CNN and RNN based payload classification methods for attack detection , 2019, Knowl. Based Syst..
[22] Ken Ueno,et al. dLSTM: a new approach for anomaly detection using deep learning with delayed prediction , 2019, International Journal of Data Science and Analytics.
[23] Saichon Jaiyen,et al. Intrusion detection model based on ensemble learning for U2R and R2L attacks , 2015, 2015 7th International Conference on Information Technology and Electrical Engineering (ICITEE).
[24] Suraj Sharma,et al. Internet of Things attack detection using hybrid Deep Learning Model , 2021, Comput. Commun..
[25] Vaishali Ganganwar,et al. An overview of classification algorithms for imbalanced datasets , 2012 .
[26] Jung-Min Park,et al. An overview of anomaly detection techniques: Existing solutions and latest technological trends , 2007, Comput. Networks.
[27] Myungsook Klassen,et al. Anomaly based intrusion detection in wireless networks using Bayesian classifier , 2012, 2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI).
[28] Farrukh Aslam Khan,et al. TSDL: A Two-Stage Deep Learning Model for Efficient Network Intrusion Detection , 2019, IEEE Access.
[29] Slim Abdennadher,et al. Enhancing one-class support vector machines for unsupervised anomaly detection , 2013, ODD '13.
[30] Hilde van der Togt,et al. Publisher's Note , 2003, J. Netw. Comput. Appl..
[31] Symeon Papavassiliou,et al. Network intrusion and fault detection: a statistical anomaly approach , 2002, IEEE Commun. Mag..