相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Stacked Autoencoder-Based Probabilistic Feature Extraction for On-Device Network Intrusion Detection
Thi-Nga Dao et al.
IEEE INTERNET OF THINGS JOURNAL (2022)
Best features based intrusion detection system by RBM model for detecting DDoS in cloud environment
M. Mayuranathan et al.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2021)
Towards fuzzy anomaly detection-based security: a comprehensive review
Mohammad Masdari et al.
FUZZY OPTIMIZATION AND DECISION MAKING (2021)
A novel scalable intrusion detection system based on deep learning
Soosan Naderi Mighan et al.
INTERNATIONAL JOURNAL OF INFORMATION SECURITY (2021)
Robust Network Intrusion Detection Scheme Using Long-Short Term Memory Based Convolutional Neural Networks
Chia-Ming Hsu et al.
MOBILE NETWORKS & APPLICATIONS (2021)
A survey and classification of the security anomaly detection mechanisms in software defined networks
Tohid Jafarian et al.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2021)
SADM-SDNC: security anomaly detection and mitigation in software-defined networking using C-support vector classification
Tohid Jafarian et al.
COMPUTING (2021)
Nearest cluster-based intrusion detection through convolutional neural networks
Giuseppina Andresini et al.
KNOWLEDGE-BASED SYSTEMS (2021)
Deep Learning for Anomaly Detection: A Review
Guansong Pang et al.
ACM COMPUTING SURVEYS (2021)
An efficient metaheuristic algorithm based feature selection and recurrent neural network for DoS attack detection in cloud computing environment
Reddy SaiSindhuTheja et al.
APPLIED SOFT COMPUTING (2021)
PBCNN: Packet Bytes-based Convolutional Neural Network for Network Intrusion Detection
Lian Yu et al.
COMPUTER NETWORKS (2021)
Intrusion detection in cyber-physical systems using a generic and domain specific deep autoencoder model
Soumyadeep Thakur et al.
COMPUTERS & ELECTRICAL ENGINEERING (2021)
Toward Effective Intrusion Detection Using Log-Cosh Conditional Variational Autoencoder
Xing Xu et al.
IEEE INTERNET OF THINGS JOURNAL (2021)
HCRNNIDS: Hybrid Convolutional Recurrent Neural Network-Based Network Intrusion Detection System
Muhammad Ashfaq Khan
PROCESSES (2021)
Stacked recurrent neural network for botnet detection in smart homes
Segun Popoola et al.
COMPUTERS & ELECTRICAL ENGINEERING (2021)
DeepFed: Federated Deep Learning for Intrusion Detection in Industrial Cyber-Physical Systems
Beibei Li et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)
A novel IoT network intrusion detection approach based on Adaptive Particle Swarm Optimization Convolutional Neural Network
Xiu Kan et al.
INFORMATION SCIENCES (2021)
An Efficient Intrusion Detection Method Based on Dynamic Autoencoder
Ruijie Zhao et al.
IEEE WIRELESS COMMUNICATIONS LETTERS (2021)
Robust Detection of Network Intrusion using Tree-based Convolutional Neural Networks
Sanket Mishra et al.
CODS-COMAD 2021: PROCEEDINGS OF THE 3RD ACM INDIA JOINT INTERNATIONAL CONFERENCE ON DATA SCIENCE & MANAGEMENT OF DATA (8TH ACM IKDD CODS & 26TH COMAD) (2021)
Intrusion Detection System Based on Fast Hierarchical Deep Convolutional Neural Network
Robson V. Mendonca et al.
IEEE ACCESS (2021)
An Ensemble Intrusion Detection Method for Train Ethernet Consist Network Based on CNN and RNN
Chuan Yue et al.
IEEE ACCESS (2021)
An intrusion detection model using improved convolutional deep belief networks for wireless sensor networks
Weimin Wen et al.
INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING (2021)
Intrusion detection using deep sparse auto-encoder and self-taught learning
Aqsa Saeed Qureshi et al.
NEURAL COMPUTING & APPLICATIONS (2020)
Hybrid intrusion detection and signature generation using Deep Recurrent Neural Networks
Sanmeet Kaur et al.
NEURAL COMPUTING & APPLICATIONS (2020)
Deep learning approaches for anomaly-based intrusion detection systems: A survey, taxonomy, and open issues
Arwa Aldweesh et al.
KNOWLEDGE-BASED SYSTEMS (2020)
Review of intrusion detection systems based on deep learning techniques: coherent taxonomy, challenges, motivations, recommendations, substantial analysis and future directions
A. M. Aleesa et al.
NEURAL COMPUTING & APPLICATIONS (2020)
Deep recurrent neural network for IoT intrusion detection system
Muder Almiani et al.
SIMULATION MODELLING PRACTICE AND THEORY (2020)
A survey and classification of the workload forecasting methods in cloud computing
Mohammad Masdari et al.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS (2020)
A hybrid deep learning model for efficient intrusion detection in big data environment
Mohammad Mehedi Hassan et al.
INFORMATION SCIENCES (2020)
Robust detection for network intrusion of industrial IoT based on multi-CNN fusion
Yanmiao Li et al.
MEASUREMENT (2020)
An intrusion detection approach based on improved deep belief network
Qiuting Tian et al.
APPLIED INTELLIGENCE (2020)
A deep learning method with wrapper based feature extraction for wireless intrusion detection system
Sydney Mambwe Kasongo et al.
COMPUTERS & SECURITY (2020)
In-vehicle network intrusion detection using deep convolutional neural network
Hyun Min Song et al.
VEHICULAR COMMUNICATIONS (2020)
A deep learning approach for effective intrusion detection in wireless networks using CNN
B. Riyaz et al.
SOFT COMPUTING (2020)
A survey on intrusion detection and prevention in wireless ad-hoc networks
Khalid Khan et al.
JOURNAL OF SYSTEMS ARCHITECTURE (2020)
A survey and taxonomy of the fuzzy signature-based Intrusion Detection Systems
Mohammad Masdari et al.
APPLIED SOFT COMPUTING (2020)
Security anomaly detection in software-defined networking based on a prediction technique
Tohid Jafarian et al.
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS (2020)
Packet Preprocessing in CNN-Based Network Intrusion Detection System
Wooyeon Jo et al.
ELECTRONICS (2020)
A Mean Convolutional Layer for Intrusion Detection System
Leila Mohammadpour et al.
SECURITY AND COMMUNICATION NETWORKS (2020)
Genetic convolutional neural network for intrusion detection systems
Minh Tuan Nguyen et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)
Intrusion Detection Model of CNN-BiLSTM Algorithm Based on Mean Control
Liangkang Zhang et al.
PROCEEDINGS OF 2020 IEEE 11TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS 2020) (2020)
DLDM: Deep learning-based defense mechanism for denial of service attacks in wireless sensor networks
M. Premkumar et al.
MICROPROCESSORS AND MICROSYSTEMS (2020)
A comprehensive survey of anomaly detection techniques for high dimensional big data
Srikanth Thudumu et al.
JOURNAL OF BIG DATA (2020)
A Taxonomy of Network Threats and the Effect of Current Datasets on Intrusion Detection Systems
Hanan Hindy et al.
IEEE ACCESS (2020)
Large-Scale and Robust Intrusion Detection Model Combining Improved Deep Belief Network With Feature-Weighted SVM
Yukun Wu et al.
IEEE ACCESS (2020)
A Deep Long Short-Term Memory based classifier for Wireless Intrusion Detection System
Sydney Mambwe Kasongo et al.
ICT EXPRESS (2020)
A deep learning-based multi-agent system for intrusion detection
Faten Louati et al.
SN APPLIED SCIENCES (2020)
Application of Deep Learning Technique in an Intrusion Detection System
Shideh Saraeian et al.
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE AND APPLICATIONS (2020)
Deep Learning Based Multi-Channel Intelligent Attack Detection for Data Security
Feng Jiang et al.
IEEE TRANSACTIONS ON SUSTAINABLE COMPUTING (2020)
AI-IDS: Application of Deep Learning to Real-Time Web Intrusion Detection
Aechan Kim et al.
IEEE ACCESS (2020)
A deep learning approach for proactive multi-cloud cooperative intrusion detection system
Adel Abusitta et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
Towards Deep-Learning-Driven Intrusion Detection for the Internet of Things
Geethapriya Thamilarasu et al.
SENSORS (2019)
Intrusion detection in smart cities using Restricted Boltzmann Machines
Asmaa Elsaeidy et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2019)
Improving the Classification Effectiveness of Intrusion Detection by Using Improved Conditional Variational AutoEncoder and Deep Neural Network
Yanqing Yang et al.
SENSORS (2019)
Dynamic Deep Forest: An Ensemble Classification Method for Network Intrusion Detection
Bo Hu et al.
ELECTRONICS (2019)
Designing online network intrusion detection using deep auto-encoder Q-learning
Chayoung Kim et al.
COMPUTERS & ELECTRICAL ENGINEERING (2019)
Machine Learning and Deep Learning Methods for Intrusion Detection Systems: A Survey
Hongyu Liu et al.
APPLIED SCIENCES-BASEL (2019)
Intrusion detection system using deep learning for in-vehicle security
Jiayan Zhang et al.
AD HOC NETWORKS (2019)
Building an Effective Intrusion Detection System Using the Modified Density Peak Clustering Algorithm and Deep Belief Networks
Yanqing Yang et al.
APPLIED SCIENCES-BASEL (2019)
Deep Learning Based Recommender System: A Survey and New Perspectives
Shuai Zhang et al.
ACM COMPUTING SURVEYS (2019)
Intrusion Detection Systems with Deep Learning: A Systematic Mapping Study
Sinem Osken et al.
2019 SCIENTIFIC MEETING ON ELECTRICAL-ELECTRONICS & BIOMEDICAL ENGINEERING AND COMPUTER SCIENCE (EBBT) (2019)
Introducing Deep Learning Self-Adaptive Misuse Network Intrusion Detection Systems
Dimitrios Papamartzivanos et al.
IEEE ACCESS (2019)
Intrusion Detection Using Big Data and Deep Learning Techniques
Osama Faker et al.
PROCEEDINGS OF THE 2019 ANNUAL ACM SOUTHEAST CONFERENCE (ACMSE 2019) (2019)
Intrusion Detection in IoT Systems Based on Deep Learning Using Convolutional Neural Network
Pham Van Huong et al.
PROCEEDINGS OF 2019 6TH NATIONAL FOUNDATION FOR SCIENCE AND TECHNOLOGY DEVELOPMENT (NAFOSTED) CONFERENCE ON INFORMATION AND COMPUTER SCIENCE (NICS) (2019)
Big data analysis and distributed deep learning for next-generation intrusion detection system optimization
Khloud Al Jallad et al.
JOURNAL OF BIG DATA (2019)
DeepVCM: a Deep Learning Based Intrusion Detection Method in VANET
Yi Zeng et al.
2019 IEEE 5TH INTL CONFERENCE ON BIG DATA SECURITY ON CLOUD (BIGDATASECURITY) / IEEE INTL CONFERENCE ON HIGH PERFORMANCE AND SMART COMPUTING (HPSC) / IEEE INTL CONFERENCE ON INTELLIGENT DATA AND SECURITY (IDS) (2019)
Performance Enhancement of Deep Neural Network Using Feature Selection and Preprocessing for Intrusion Detection
Ju-ho Woo et al.
2019 1ST INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN INFORMATION AND COMMUNICATION (ICAIIC 2019) (2019)
A Deep Learning Approach for Network Intrusion Detection Based on NSL-KDD Dataset
Chongzhen Zhang et al.
PROCEEDINGS OF 2019 IEEE 13TH INTERNATIONAL CONFERENCE ON ANTI-COUNTERFEITING, SECURITY, AND IDENTIFICATION (IEEE-ASID'2019) (2019)
Security and Privacy for the Internet of Medical Things Enabled Healthcare Systems: A Survey
Yingnan Sun et al.
IEEE ACCESS (2019)
An Intrusion Detection Model Based on Feature Reduction and Convolutional Neural Networks
Yihan Xiao et al.
IEEE ACCESS (2019)
Deep Learning Approach for Intelligent Intrusion Detection System
R. Vinayakumar et al.
IEEE ACCESS (2019)
Deep-Full-Range: A Deep Learning Based Network Encrypted Traffic Classification and Intrusion Detection Framework
Yi Zeng et al.
IEEE ACCESS (2019)
Intrusion Detection for IoT Devices based on RF Fingerprinting using Deep Learning
Joshua Bassey et al.
2019 FOURTH INTERNATIONAL CONFERENCE ON FOG AND MOBILE EDGE COMPUTING (FMEC) (2019)
A Novel Two-Stage Deep Learning Model for Efficient Network Intrusion Detection
Farrukh Aslam Khan et al.
IEEE ACCESS (2019)
A Deep Learning Method With Filter Based Feature Engineering for Wireless Intrusion Detection System
Sydney Mambwe Kasongo et al.
IEEE ACCESS (2019)
Evaluating Deep Learning Based Network Intrusion Detection System in Adversarial Environment
Ye Peng et al.
PROCEEDINGS OF 2019 IEEE 9TH INTERNATIONAL CONFERENCE ON ELECTRONICS INFORMATION AND EMERGENCY COMMUNICATION (ICEIEC 2019) (2019)
A Comparative Analysis of Deep Learning Approaches for Network Intrusion Detection Systems (N-IDSs): Deep Learning for N-IDSs
R. Vinayakumar et al.
INTERNATIONAL JOURNAL OF DIGITAL CRIME AND FORENSICS (2019)
Intrusion Detection for IoT Based on Improved Genetic Algorithm and Deep Belief Network
Ying Zhang et al.
IEEE ACCESS (2019)
Combined Wireless Network Intrusion Detection Model Based on Deep Learning
Hongyu Yang et al.
IEEE ACCESS (2019)
Deep Learning in Mobile and Wireless Networking: A Survey
Chaoyun Zhang et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2019)
An efficient feature generation approach based on deep learning and feature selection techniques for traffic classification
Hongtao Shi et al.
COMPUTER NETWORKS (2018)
A prediction system of Sybil attack in social network using deep-regression model
Muhammad Al-Qurishi et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)
Distributed attack detection scheme using deep learning approach for Internet of Things
Abebe Abeshu Diro et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)
Deep Learning: The Frontier for Distributed Attack Detection in Fog-to-Things Computing
Abebe Abeshu Diro et al.
IEEE COMMUNICATIONS MAGAZINE (2018)
A survey on deep learning for big data
Qingchen Zhang et al.
INFORMATION FUSION (2018)
Deep learning for sentiment analysis: A survey
Lei Zhang et al.
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY (2018)
HAST-IDS: Learning Hierarchical Spatial-Temporal Features Using Deep Neural Networks to Improve Intrusion Detection
Wei Wang et al.
IEEE ACCESS (2018)
Cloud-Based Cyber-Physical Intrusion Detection for Vehicles Using Deep Learning
George Loukas et al.
IEEE ACCESS (2018)
Deep Learning-Based Intrusion Detection with Adversaries
Zheng Wang
IEEE ACCESS (2018)
A Novel Intrusion Detection Model for a Massive Network Using Convolutional Neural Networks
Kehe Wu et al.
IEEE ACCESS (2018)
Deep Learning Approach Combining Sparse Autoencoder With SVM for Network Intrusion Detection
Majjed Al-Qatf et al.
IEEE ACCESS (2018)
An Intrusion Detection System Using a Deep Neural Network With Gated Recurrent Units
Congyuan Xu et al.
IEEE ACCESS (2018)
A Deep Learning Approach to Network Intrusion Detection
Nathan Shone et al.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE (2018)
Improved traffic detection with support vector machine based on restricted Boltzmann machine
Jun Yang et al.
SOFT COMPUTING (2017)
Markov chain-based evaluation of the certificate status validations in hybrid MANETs
Mohammad Masdari
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2017)
A survey and taxonomy of the authentication schemes in Telecare Medicine Information Systems
Mohammad Masdari et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2017)
Key management in wireless Body Area Network: Challenges and issues
Mohammad Masdari et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2017)
A survey on deep learning in medical image analysis
Geert Litjens et al.
MEDICAL IMAGE ANALYSIS (2017)
Advanced internet of things for personalised healthcare systems: A survey
Jun Qi et al.
PERVASIVE AND MOBILE COMPUTING (2017)
A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks
Chuanlong Yin et al.
IEEE ACCESS (2017)
A Systematic Approach for the Application of Restricted Boltzmann Machines in Network Intrusion Detection
Arnaldo Gouveia et al.
ADVANCES IN COMPUTATIONAL INTELLIGENCE, IWANN 2017, PT I (2017)
Session-Based Network Intrusion Detection Using a Deep Learning Architecture
Yang Yu et al.
MODELING DECISIONS FOR ARTIFICIAL INTELLIGENCE (MDAI 2017) (2017)
A Hybrid System of Deep Learning and Learning Classifier System for Database Intrusion Detection
Seok-Jun Bu et al.
HYBRID ARTIFICIAL INTELLIGENT SYSTEMS, HAIS 2017 (2017)
DeepDefense: Identifying DDoS Attack via Deep Learning
Xiaoyong Yuan et al.
2017 IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING (SMARTCOMP) (2017)
Host-based intrusion detection system for secure human-centric computing
Daesung Moon et al.
JOURNAL OF SUPERCOMPUTING (2016)
Anomaly Detection System in Cloud Environment Using Fuzzy Clustering Based ANN
N. Pandeeswari et al.
MOBILE NETWORKS & APPLICATIONS (2016)
On cloud security attacks: A taxonomy and intrusion detection and prevention as a service
Salman Iqbal et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2016)
A survey of network anomaly detection techniques
Mohiuddin Ahmed et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2016)
Neural networks: An overview of early research, current frameworks and new challenges
Alberto Prieto et al.
NEUROCOMPUTING (2016)
A survey and taxonomy of DoS attacks in cloud computing
Mohammad Masdari et al.
SECURITY AND COMMUNICATION NETWORKS (2016)
Comprehensive analysis of the authentication methods in wireless body area networks
Mohammad Masdari et al.
SECURITY AND COMMUNICATION NETWORKS (2016)
Taxonomy and Survey of Collaborative Intrusion Detection
Emmanouil Vasilomanolakis et al.
ACM COMPUTING SURVEYS (2015)
Towards efficient certificate status validations with E-ADOPT in mobile ad hoc networks
Mohammad Masdari et al.
COMPUTERS & SECURITY (2015)
A Survey of Intrusion Detection Techniques for Cyber-Physical Systems
Robert Mitchell et al.
ACM COMPUTING SURVEYS (2014)
False alarm minimization techniques in signature-based intrusion detection systems: A survey
Neminath Hubballi et al.
COMPUTER COMMUNICATIONS (2014)
A Survey of Intrusion Detection Systems in Wireless Sensor Networks
Ismail Butun et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2014)
A survey of wireless technologies coexistence in WBAN: analysis and open research issues
Thaier Hayajneh et al.
WIRELESS NETWORKS (2014)
A Survey of Defense Mechanisms Against Distributed Denial of Service (DDoS) Flooding Attacks
Saman Taghavi Zargar et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2013)
An intrusion detection and prevention system in cloud computing: A systematic review
Ahmed Patel et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2013)
Analysis of Secure LEACH-Based Clustering Protocols in Wireless Sensor Networks
Mohammad Masdari et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2013)
A survey and taxonomy of distributed certificate authorities in mobile ad hoc networks
Mohammad Masdari et al.
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING (2011)
A survey of coordinated attacks and collaborative intrusion detection
Chenfeng Vincent Zhou et al.
COMPUTERS & SECURITY (2010)
分享论文
