Hyperparameter search based convolution neural network with Bi-LSTM model for intrusion detection system in multimedia big data environment

[1]  Farrukh Aslam Khan,et al.  A Comparative Study of Machine Learning Classifiers for Network Intrusion Detection , 2019, ICAIS.

[2]  Azar Abid Salih,et al.  Evaluation of Classification Algorithms for Intrusion Detection System: A Review , 2021 .

[3]  Mohammed J. F. Alenazi,et al.  Designing a Network Intrusion Detection System Based on Machine Learning for Software Defined Networks , 2021, Future Internet.

[4]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[5]  Weihua Ou,et al.  Sentiment Analysis of Text Based on Bidirectional LSTM With Multi-Head Attention , 2019, IEEE Access.

[6]  Jill Slay,et al.  The evaluation of Network Anomaly Detection Systems: Statistical analysis of the UNSW-NB15 data set and the comparison with the KDD99 data set , 2016, Inf. Secur. J. A Glob. Perspect..

[7]  Mohamed Elhoseny,et al.  Deep Learning based Optimal Multimodal Fusion Framework for Intrusion Detection Systems for Healthcare Data , 2021, Computers, Materials & Continua.

[8]  Giancarlo Fortino,et al.  A hybrid deep learning model for efficient intrusion detection in big data environment , 2020, Inf. Sci..

[9]  Ali A. Ghorbani,et al.  Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization , 2018, ICISSP.

[10]  Karin M. Verspoor,et al.  Big Data in Medicine Is Driving Big Changes , 2014, Yearbook of Medical Informatics.

[11]  Ram Sarkar,et al.  Intrusion detection in cyber-physical systems using a generic and domain specific deep autoencoder model , 2021, Comput. Electr. Eng..

[12]  Yoshua Bengio,et al.  Scaling learning algorithms towards AI , 2007 .

[13]  Govind P. Gupta,et al.  A Framework for Fast and Efficient Cyber Security Network Intrusion Detection Using Apache Spark , 2016 .

[14]  Bayu Adhi Tama,et al.  Anomaly detection using random forest: A performance revisited , 2017, 2017 International Conference on Data and Software Engineering (ICoDSE).

[15]  Devesh Kumar Srivastava,et al.  Network Intrusion Detection in Big Dataset Using Spark , 2018 .

[16]  R. Vijayanand,et al.  Intrusion detection system for wireless mesh network using multiple support vector machine classifiers with genetic-algorithm-based feature selection , 2018, Comput. Secur..

[17]  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).

[18]  Salah El Hadaj,et al.  Performance evaluation of intrusion detection based on machine learning using Apache Spark , 2018 .

[19]  Carmen C. Y. Poon,et al.  Big Data for Health , 2015, IEEE Journal of Biomedical and Health Informatics.

[20]  Dorothy E. Denning,et al.  An Intrusion-Detection Model , 1986, 1986 IEEE Symposium on Security and Privacy.

[21]  Kamran Sedig,et al.  The Challenge of Big Data in Public Health: An Opportunity for Visual Analytics , 2014, Online journal of public health informatics.

[22]  Tara N. Sainath,et al.  Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups , 2012, IEEE Signal Processing Magazine.

[23]  T. Vengattaraman,et al.  Swarm intelligence based classification rule induction (CRI) framework for qualitative and quantitative approach: An application of bankruptcy prediction and credit risk analysis , 2017, J. King Saud Univ. Comput. Inf. Sci..

[24]  Yoshua Bengio,et al.  Exploring Strategies for Training Deep Neural Networks , 2009, J. Mach. Learn. Res..

[25]  Salah El Hadaj,et al.  A Two-Stage Classifier Approach using RepTree Algorithm for Network Intrusion Detection , 2017 .