Related references
Note: Only part of the references are listed.AutoML: A survey of the state-of-the-art
Xin He et al.
KNOWLEDGE-BASED SYSTEMS (2021)
A bidirectional LSTM deep learning approach for intrusion detection
Yakubu Imrana et al.
EXPERT SYSTEMS WITH APPLICATIONS (2021)
A GRU deep learning system against attacks in software defined networks
Marcos V. O. Assis et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2021)
An Intelligent Tree-Based Intrusion Detection Model for Cyber Security
Mohammad Al-Omari et al.
JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT (2021)
Multi-scale Self-Organizing Map assisted Deep Autoencoding Gaussian Mixture Model for unsupervised intrusion detection
Yang Chen et al.
KNOWLEDGE-BASED SYSTEMS (2021)
Metaheuristic algorithm for anomaly detection in Internet of Things leveraging on a neural-driven multiagent system
Agostino Forestiero
KNOWLEDGE-BASED SYSTEMS (2021)
A multi-measure feature selection algorithm for efficacious intrusion detection
Vitali Herrera-Semenets et al.
KNOWLEDGE-BASED SYSTEMS (2021)
Semi-Supervised Spatiotemporal Deep Learning for Intrusions Detection in IoT Networks
Mohamed Abdel-Basset et al.
IEEE INTERNET OF THINGS JOURNAL (2021)
One-class support vector classifiers: A survey
Shamshe Alam et al.
KNOWLEDGE-BASED SYSTEMS (2020)
Deep learning methods in network intrusion detection: A survey and an objective comparison
Sunanda Gamage et al.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS (2020)
A multi-objective immune algorithm for intrusion feature selection
Wenhong Wei et al.
APPLIED SOFT COMPUTING (2020)
Semisupervised-Learning-Based Security to Detect and Mitigate Intrusions in IoT Network
Nagarathna Ravi et al.
IEEE INTERNET OF THINGS JOURNAL (2020)
A Modified Multi-objective Particle Swarm Optimizer-Based Levy Flight: An Approach Toward Intrusion Detection in Internet of Things
Maria Habib et al.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2020)
Research on Scene Classification Method of High-Resolution Remote Sensing Images Based on RFPNet
Xin Zhang et al.
APPLIED SCIENCES-BASEL (2019)
An Ensemble Intrusion Detection Technique Based on Proposed Statistical Flow Features for Protecting Network Traffic of Internet of Things
Nour Moustafa et al.
IEEE INTERNET OF THINGS JOURNAL (2019)
A Supervised Intrusion Detection System for Smart Home IoT Devices
Eirini Anthi et al.
IEEE INTERNET OF THINGS JOURNAL (2019)
Evolutionary Neural AutoML for Deep Learning
Jason Liang et al.
PROCEEDINGS OF THE 2019 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE (GECCO'19) (2019)
Toward a Lightweight Intrusion Detection System for the Internet of Things
Sana Ullah Jan et al.
IEEE ACCESS (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)
An improved NSGA-III algorithm for feature selection used in intrusion detection
Yingying Zhu et al.
KNOWLEDGE-BASED SYSTEMS (2017)
RFAODE: A Novel Ensemble Intrusion Detection System
M. A. Jabbar et al.
7TH INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING & COMMUNICATIONS (ICACC-2017) (2017)
Intrusion Detection in 802.11 Networks: Empirical Evaluation of Threats and a Public Dataset
Constantinos Kolias et al.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS (2016)
Ensemble Classification and Regression-Recent Developments, Applications and Future Directions
Ye Ren et al.
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE (2016)
A knowledge-based resource discovery for Internet of Things
Charith Perera et al.
KNOWLEDGE-BASED SYSTEMS (2016)
Feature selection by multi-objective optimisation: Application to network anomaly detection by hierarchical self-organising maps
Emiro de la Hoz et al.
KNOWLEDGE-BASED SYSTEMS (2014)
MOEA/D: A multiobjective evolutionary algorithm based on decomposition
Qingfu Zhang et al.
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2007)
An analysis of diversity measures
E. K. Tang et al.
MACHINE LEARNING (2006)
Evolving neural networks through augmenting topologies
KO Stanley et al.
EVOLUTIONARY COMPUTATION (2002)
Share Paper
