Metaheuristic-Driven Abnormal Traffic Detection Model for SDN Based on Improved Tyrannosaurus Optimization Algorithm
Source abstract
Abstract
Nowadays, abnormal traffic detection for Software-Defined Networking (SDN) faces the challenges of large data volume and high dimensionality. Since traditional machine learning-based detection methods have the problem of data... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Software-Defined Networks and 5G · Technology and Security Systems · Network Security and Intrusion Detection
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (29)
Show source-provided references
1. Load balance in data center SDN networks10.11591/ijece.v8i5.pp3084-3091 ↗
2. Sdn security: a survey
3. Software-defined networking: a comprehensive survey10.1109/JPROC.2014.2371999 ↗
4. The road to SDN: an intellectual history of programmable networks10.1145/2602204.2602219 ↗
5. Machine learning enabled novel real-time IoT targeted DoS/DDoS cyber attack detection system
6. Denial of service attack detection and mitigation for Internet of Things using looking-back-enabled machine learning techniques10.1016/j.compeleceng.2022.107716 ↗
7. Machine learning approaches for combating distributed denial of service attacks in modern networking environments10.1109/ACCESS.2021.3062909 ↗
8. Threat analysis and distributed denial of service (DDoS) attack recognition in the Internet of Things (IoT)10.3390/electronics11030494 ↗
9. A deep learning based DDoS detection system in software-defined networking (SDN)10.4108/eai.28-12-2017.153515 ↗
10. Deep learning approach for network intrusion detection in software defined networking
11. Abnormal traffic detection system in SDN based on deep learning hybrid models10.1016/j.comcom.2023.12.041 ↗
12. Network anomaly detection with machine learning techniques for SDN networks
13. Decision tree classifier for network intrusion detection with GA-based feature selection
14. Zainal · Lecture notes in computer science · 2007
15. Mojtahedi A, Sorouri F, Souha AN, Molazadeh A, Mehr SS. Feature selection-based intrusion detection system using genetic whale optimization algorithm and sample-based classification. arXiv:2201.00584. 2022.
16. An intelligent algorithm with feature selection and decision rules applied to anomaly intrusion detection10.1016/j.asoc.2012.05.004 ↗
17. Application of improved butterfly optimization algorithm combined with black widow optimization in feature selection of network intrusion detection10.3390/electronics11213531 ↗
18. An improved jump spider optimization for network traffic identification feature selection
19. A multi-controller placement strategy for hierarchical management of software-defined networking10.3390/sym15081520 ↗
20. Modified artificial rabbits optimization combined with bottlenose dolphin optimizer in feature selection of network intrusion detection10.3934/era.2024081 ↗
21. Applying an improved dung beetle optimizer algorithm to network traffic identification
22. Different metaheuristic strategies to solve the feature selection problem10.1016/j.patrec.2008.11.012 ↗
23. Reactive power optimization by genetic algorithm10.1109/59.317674 ↗
24. Magnificent frigatebird optimization: a new bio-inspired metaheuristic approach for solving optimization problems
25. Sahu · e-Prime—Adv Electr Eng Electron Energy · 2023 · 5 · 10024310.1016/j.prime.2023.100243 ↗
26. Optimization of vibration and sound insulation in GPLRC honeycomb structures based on circle chaos mapping and Levy flight-enhanced YDSE with constraints10.1016/j.apm.2024.06.018 ↗
27. Identification of the continuous-time Hammerstein models with sparse measurement data using improved marine predators algorithm
28. An improved marine predators algorithm tuned data-driven multiple-node hormone regulation neuroendocrine-PID controller for multi-input-multi-output gantry crane system10.1177/14613484231183938 ↗
29. Enhanced prairie dog optimization with Levy flight and dynamic opposition-based learning for global optimization and engineering design problems10.1007/s00521-024-09648-4 ↗