These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
155 related articles for article (PubMed ID: 35746198)
1. Frequency-Based Representation of Massive Alerts and Combination of Indicators by Heterogeneous Intrusion Detection Systems for Anomaly Detection. Park H; Choi YJ Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746198 [TBL] [Abstract][Full Text] [Related]
2. Towards a Machine Learning Based Situational Awareness Framework for Cybersecurity: An SDN Implementation. Nikoloudakis Y; Kefaloukos I; Klados S; Panagiotakis S; Pallis E; Skianis C; Markakis EK Sensors (Basel); 2021 Jul; 21(14):. PubMed ID: 34300676 [TBL] [Abstract][Full Text] [Related]
3. Robust genetic machine learning ensemble model for intrusion detection in network traffic. Akhtar MA; Qadri SMO; Siddiqui MA; Mustafa SMN; Javaid S; Ali SA Sci Rep; 2023 Oct; 13(1):17227. PubMed ID: 37821521 [TBL] [Abstract][Full Text] [Related]
4. Hybrid evolutionary machine learning model for advanced intrusion detection architecture for cyber threat identification. Sharma A; Rani S; Driss M PLoS One; 2024; 19(9):e0308206. PubMed ID: 39264944 [TBL] [Abstract][Full Text] [Related]
5. An Improved LDA-Based ELM Classification for Intrusion Detection Algorithm in IoT Application. Zheng D; Hong Z; Wang N; Chen P Sensors (Basel); 2020 Mar; 20(6):. PubMed ID: 32204314 [TBL] [Abstract][Full Text] [Related]
6. Inter-Domain Fusion for Enhanced Intrusion Detection in Power Systems: An Evidence Theoretic and Meta-Heuristic Approach. Sahu A; Davis K Sensors (Basel); 2022 Mar; 22(6):. PubMed ID: 35336271 [TBL] [Abstract][Full Text] [Related]
7. Multi-Layered Filtration Framework for Efficient Detection of Network Attacks Using Machine Learning. Paracha MA; Sadiq M; Liang J; Durad MH; Sheeraz M Sensors (Basel); 2023 Jun; 23(13):. PubMed ID: 37447678 [TBL] [Abstract][Full Text] [Related]
8. Cyber-Attack Prediction Based on Network Intrusion Detection Systems for Alert Correlation Techniques: A Survey. Albasheer H; Md Siraj M; Mubarakali A; Elsier Tayfour O; Salih S; Hamdan M; Khan S; Zainal A; Kamarudeen S Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214394 [TBL] [Abstract][Full Text] [Related]
9. An intrusion detection model to detect zero-day attacks in unseen data using machine learning. Dai Z; Por LY; Chen YL; Yang J; Ku CS; Alizadehsani R; PÅ‚awiak P PLoS One; 2024; 19(9):e0308469. PubMed ID: 39259729 [TBL] [Abstract][Full Text] [Related]
10. A Hybrid Framework for Intrusion Detection in Healthcare Systems Using Deep Learning. Akshay Kumaar M; Samiayya D; Vincent PMDR; Srinivasan K; Chang CY; Ganesh H Front Public Health; 2021; 9():824898. PubMed ID: 35096763 [TBL] [Abstract][Full Text] [Related]
11. DOC-IDS: A Deep Learning-Based Method for Feature Extraction and Anomaly Detection in Network Traffic. Yoshimura N; Kuzuno H; Shiraishi Y; Morii M Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746191 [TBL] [Abstract][Full Text] [Related]
12. A stacked deep learning approach to cyber-attacks detection in industrial systems: application to power system and gas pipeline systems. Wang W; Harrou F; Bouyeddou B; Senouci SM; Sun Y Cluster Comput; 2022; 25(1):561-578. PubMed ID: 34629940 [TBL] [Abstract][Full Text] [Related]
13. GAN model using field fuzz mutation for in-vehicle CAN bus intrusion detection. Li Z; Jiang W; Liu X; Tan K; Jin X; Yang M Math Biosci Eng; 2022 May; 19(7):6996-7018. PubMed ID: 35730293 [TBL] [Abstract][Full Text] [Related]
15. Research on hybrid intrusion detection method based on the ADASYN and ID3 algorithms. Li Y; Xu W; Li W; Li A; Liu Z Math Biosci Eng; 2022 Jan; 19(2):2030-2042. PubMed ID: 35135240 [TBL] [Abstract][Full Text] [Related]
16. Research of Machine Learning Algorithms for the Development of Intrusion Detection Systems in 5G Mobile Networks and Beyond. Imanbayev A; Tynymbayev S; Odarchenko R; Gnatyuk S; Berdibayev R; Baikenov A; Kaniyeva N Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36560333 [TBL] [Abstract][Full Text] [Related]
17. An automatically tuning intrusion detection system. Yu Z; Tsai JJ; Weigert T IEEE Trans Syst Man Cybern B Cybern; 2007 Apr; 37(2):373-84. PubMed ID: 17416165 [TBL] [Abstract][Full Text] [Related]
18. Classification model for accuracy and intrusion detection using machine learning approach. Agarwal A; Sharma P; Alshehri M; Mohamed AA; Alfarraj O PeerJ Comput Sci; 2021; 7():e437. PubMed ID: 33954233 [TBL] [Abstract][Full Text] [Related]
19. Intrusion Detection in Vehicle Controller Area Network (CAN) Bus Using Machine Learning: A Comparative Performance Study. Bari BS; Yelamarthi K; Ghafoor S Sensors (Basel); 2023 Mar; 23(7):. PubMed ID: 37050674 [TBL] [Abstract][Full Text] [Related]
20. A Few-Shot Learning-Based Siamese Capsule Network for Intrusion Detection with Imbalanced Training Data. Wang ZM; Tian JY; Qin J; Fang H; Chen LM Comput Intell Neurosci; 2021; 2021():7126913. PubMed ID: 34557226 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]