Towards secure intrusion detection systems using deep learning techniques: Comprehensive analysis and review
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Title
Towards secure intrusion detection systems using deep learning techniques: Comprehensive analysis and review
Authors
Keywords
Intrusion detection, Deep learning, Auto-encoder, CNN, DNN, GAN, LSTM
Journal
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
Volume -, Issue -, Pages 103111
Publisher
Elsevier BV
Online
2021-05-19
DOI
10.1016/j.jnca.2021.103111
References
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Note: Only part of the references are listed.- Nearest cluster-based intrusion detection through convolutional neural networks
- (2021) Giuseppina Andresini et al. KNOWLEDGE-BASED SYSTEMS
- An Effective Convolutional Neural Network Based on SMOTE and Gaussian Mixture Model for Intrusion Detection in Imbalanced Dataset
- (2020) Hongpo Zhang et al. Computer Networks
- A deep learning approach for effective intrusion detection in wireless networks using CNN
- (2020) B. Riyaz et al. SOFT COMPUTING
- IGAN-IDS: An imbalanced generative adversarial network towards intrusion detection system in ad-hoc networks
- (2020) Shuokang Huang et al. Ad Hoc Networks
- Building Auto-Encoder Intrusion Detection System based on random forest feature selection
- (2020) XuKui Li et al. COMPUTERS & SECURITY
- Towards fuzzy anomaly detection-based security: a comprehensive review
- (2020) Mohammad Masdari et al. Fuzzy Optimization and Decision Making
- A Review of Intrusion Detection Systems Using Machine and Deep Learning in Internet of Things: Challenges, Solutions and Future Directions
- (2020) Javed Asharf et al. Electronics
- SAAE-DNN: Deep Learning Method on Intrusion Detection
- (2020) Chaofei Tang et al. Symmetry-Basel
- An Efficient Intrusion Detection Method Based on LightGBM and Autoencoder
- (2020) Chaofei Tang et al. Symmetry-Basel
- DeepIDS: Deep Learning Approach for Intrusion Detection in Software Defined Networking
- (2020) Tuan Anh Tang et al. Electronics
- Genetic convolutional neural network for intrusion detection systems
- (2020) Minh Tuan Nguyen et al. Future Generation Computer Systems-The International Journal of eScience
- Collaborative Intrusion Detection for VANETs: A Deep Learning-Based Distributed SDN Approach
- (2020) Jiangang Shu et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- A State-of-the-Art Survey on Deep Learning Theory and Architectures
- (2019) Md Zahangir Alom et al. Electronics
- Unsupervised learning approach for network intrusion detection system using autoencoders
- (2019) Hyunseung Choi et al. JOURNAL OF SUPERCOMPUTING
- A deep learning approach for proactive multi-cloud cooperative intrusion detection system
- (2019) Adel Abusitta et al. Future Generation Computer Systems-The International Journal of eScience
- Internet of Things: A survey on machine learning-based intrusion detection approaches
- (2019) Kelton A.P. da Costa et al. Computer Networks
- A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
- (2019) Yong Yu et al. NEURAL COMPUTATION
- Towards Deep-Learning-Driven Intrusion Detection for the Internet of Things
- (2019) Geethapriya Thamilarasu et al. SENSORS
- Network Intrusion Detection Based on Novel Feature Selection Model and Various Recurrent Neural Networks
- (2019) Thi-Thu-Huong Le et al. Applied Sciences-Basel
- Intrusion detection in smart cities using Restricted Boltzmann Machines
- (2019) Asmaa Elsaeidy et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Improving the Classification Effectiveness of Intrusion Detection by Using Improved Conditional Variational AutoEncoder and Deep Neural Network
- (2019) Yanqing Yang et al. SENSORS
- Demystifying Parallel and Distributed Deep Learning
- (2019) Tal Ben-Nun et al. ACM COMPUTING SURVEYS
- A Survey of Intrusion Detection Systems Leveraging Host Data
- (2019) Robert A. Bridges et al. ACM COMPUTING SURVEYS
- Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues
- (2019) Arwa Aldweesh et al. KNOWLEDGE-BASED SYSTEMS
- A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
- (2019) Cosimo Ieracitano et al. NEUROCOMPUTING
- Deep recurrent neural network for IoT intrusion detection system
- (2019) Muder Almiani et al. SIMULATION MODELLING PRACTICE AND THEORY
- Intrusion detection system using deep learning for in-vehicle security
- (2019) Jiayan Zhang et al. Ad Hoc Networks
- Parallel Deep Learning Detection Network in the MIMO Channel
- (2019) Xianglan Jin et al. IEEE COMMUNICATIONS LETTERS
- A convolutional neural-based learning classifier system for detecting database intrusion via insider attack
- (2019) Seok-Jun Bu et al. INFORMATION SCIENCES
- In-vehicle network intrusion detection using deep convolutional neural network
- (2019) Hyun Min Song et al. Vehicular Communications
- Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study
- (2019) Mohamed Amine Ferrag et al. Journal of Information Security and Applications
- A survey on intrusion detection and prevention in wireless ad-hoc networks
- (2019) Khalid Khan et al. JOURNAL OF SYSTEMS ARCHITECTURE
- Multimedia Big Data Analytics
- (2018) Samira Pouyanfar et al. ACM COMPUTING SURVEYS
- A Survey of Random Forest Based Methods for Intrusion Detection Systems
- (2018) Paulo Angelo Alves Resende et al. ACM COMPUTING SURVEYS
- Fast Neural Network Training on FPGA Using Quasi-Newton Optimization Method
- (2018) Qiang Liu et al. IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS
- An overview on Restricted Boltzmann Machines
- (2018) Nan Zhang et al. NEUROCOMPUTING
- Deep learning for sensor-based activity recognition: A Survey
- (2018) Jindong Wang et al. PATTERN RECOGNITION LETTERS
- A comprehensive survey on network anomaly detection
- (2018) Gilberto Fernandes et al. TELECOMMUNICATION SYSTEMS
- Survey on SDN based network intrusion detection system using machine learning approaches
- (2018) Nasrin Sultana et al. Peer-to-Peer Networking and Applications
- HAST-IDS: Learning Hierarchical Spatial-Temporal Features Using Deep Neural Networks to Improve Intrusion Detection
- (2018) Wei Wang et al. IEEE Access
- Machine Learning and Deep Learning Methods for Cybersecurity
- (2018) Yang Xin et al. IEEE Access
- Effective android malware detection with a hybrid model based on deep autoencoder and convolutional neural network
- (2018) Wei Wang et al. Journal of Ambient Intelligence and Humanized Computing
- Effective Feature Extraction via Stacked Sparse Autoencoder to Improve Intrusion Detection System
- (2018) Binghao Yan et al. IEEE Access
- A Novel Intrusion Detection Model for a Massive Network Using Convolutional Neural Networks
- (2018) Kehe Wu et al. IEEE Access
- Deep Learning Approach Combining Sparse Autoen-coder with SVM for Network Intrusion Detection
- (2018) Majjed Al-Qatf et al. IEEE Access
- An Intrusion Detection System Using a Deep Neural Network With Gated Recurrent Units
- (2018) Congyuan Xu et al. IEEE Access
- You Cannot Improve What You Do not Measure
- (2018) Andrew Boutros et al. ACM Transactions on Reconfigurable Technology and Systems
- Flow-based network traffic generation using Generative Adversarial Networks
- (2018) Markus Ring et al. COMPUTERS & SECURITY
- Fuzziness based semi-supervised learning approach for intrusion detection system
- (2017) Rana Aamir Raza Ashfaq et al. INFORMATION SCIENCES
- A survey of intrusion detection in Internet of Things
- (2017) Bruno Bogaz Zarpelão et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Intrusion detection techniques in cloud environment: A survey
- (2017) Preeti Mishra et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT
- (2017) Manuel Lopez-Martin et al. SENSORS
- A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks
- (2017) Chuanlong Yin et al. IEEE Access
- Ensemble based collaborative and distributed intrusion detection systems: A survey
- (2016) Gianluigi Folino et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- A survey and taxonomy of DoS attacks in cloud computing
- (2016) Mohammad Masdari et al. Security and Communication Networks
- A survey of cloud-based network intrusion detection analysis
- (2016) Nathan Keegan et al. Human-centric Computing and Information Sciences
- From information security to cyber security
- (2013) Rossouw von Solms et al. COMPUTERS & SECURITY
- A Survey of MANET Intrusion Detection & Prevention Approaches for Network Layer Attacks
- (2013) Adnan Nadeem et al. IEEE Communications Surveys and Tutorials
- A Survey of Intrusion Detection Systems in Wireless Sensor Networks
- (2013) Ismail Butun et al. IEEE Communications Surveys and Tutorials
- An intrusion detection and prevention system in cloud computing: A systematic review
- (2012) Ahmed Patel et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- An Overview of IP Flow-Based Intrusion Detection
- (2010) A Sperotto et al. IEEE Communications Surveys and Tutorials
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