Network intrusion detection system for Internet of Things based on enhanced flower pollination algorithm and ensemble classifier
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Network intrusion detection system for Internet of Things based on enhanced flower pollination algorithm and ensemble classifier
Authors
Keywords
-
Journal
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2022-07-30
DOI
10.1002/cpe.7103
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Sequential Model Based Intrusion Detection System for IoT Servers Using Deep Learning Methods
- (2021) Ming Zhong et al. SENSORS
- Blockchain and artificial intelligence enabled privacy‐preserving medical data transmission in Internet of Things
- (2021) Omar A. Alzubi et al. Transactions on Emerging Telecommunications Technologies
- Building an efficient intrusion detection system based on feature selection and ensemble classifier
- (2020) Yuyang Zhou et al. Computer Networks
- A feature selection algorithm for intrusion detection system based on Pigeon Inspired Optimizer
- (2020) Hadeel Alazzam et al. EXPERT SYSTEMS WITH APPLICATIONS
- Detecting Internet of Things attacks using distributed deep learning
- (2020) Gonzalo De La Torre Parra et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Lucid: A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection
- (2020) R. Doriguzzi-Corin et al. IEEE Transactions on Network and Service Management
- Passban IDS: An Intelligent Anomaly-Based Intrusion Detection System for IoT Edge Devices
- (2020) Mojtaba Eskandari et al. IEEE Internet of Things Journal
- Scalable machine learning-based intrusion detection system for IoT-enabled smart cities
- (2020) Md Arafatur Rahman et al. Sustainable Cities and Society
- Unsupervised feature selection and cluster center initialization based arbitrary shaped clusters for intrusion detection
- (2020) Mahendra Prasad et al. COMPUTERS & SECURITY
- Genetic convolutional neural network for intrusion detection systems
- (2020) Minh Tuan Nguyen et al. Future Generation Computer Systems-The International Journal of eScience
- Intrusion Detection System for Internet of Things Based on Temporal Convolution Neural Network and Efficient Feature Engineering
- (2020) Abdelouahid Derhab et al. WIRELESS COMMUNICATIONS & MOBILE COMPUTING
- Deep recurrent neural network for IoT intrusion detection system
- (2019) Muder Almiani et al. SIMULATION MODELLING PRACTICE AND THEORY
- A novel Ensemble of Hybrid Intrusion Detection System for Detecting Internet of Things Attacks
- (2019) Khraisat et al. Electronics
- An efficient feature selection based Bayesian and Rough set approach for intrusion detection
- (2019) Mahendra Prasad et al. APPLIED SOFT COMPUTING
- Interactive three-dimensional visualization of network intrusion detection data for machine learning
- (2019) Wei Zong et al. Future Generation Computer Systems-The International Journal of eScience
- Robust detection for network intrusion of industrial IoT based on multi-CNN fusion
- (2019) Yanmiao Li et al. MEASUREMENT
- A hybrid intrusion detection system based on ABC-AFS algorithm for misuse and anomaly detection
- (2018) Vajiheh Hajisalem et al. Computer Networks
- An Improved Intrusion Detection Algorithm Based on GA and SVM
- (2018) Peiying Tao et al. IEEE Access
- A New Intrusion Detection System Based on Fast Learning Network and Particle Swarm Optimization
- (2018) Mohammed Hasan Ali et al. IEEE Access
- Performance Comparison of Support Vector Machine, Random Forest, and Extreme Learning Machine for Intrusion Detection
- (2018) Iftikhar Ahmad et al. IEEE Access
- A Modified Flower Pollination Algorithm for Global Optimization
- (2016) Emad Nabil EXPERT SYSTEMS WITH APPLICATIONS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started