244 related articles for article (PubMed ID: 37844095)
1. Attentive transformer deep learning algorithm for intrusion detection on IoT systems using automatic Xplainable feature selection.
Zegarra RodrÃguez D; Daniel Okey O; Maidin SS; Umoren Udo E; Kleinschmidt JH
PLoS One; 2023; 18(10):e0286652. PubMed ID: 37844095
[TBL] [Abstract][Full Text] [Related]
2. Conditional Tabular Generative Adversarial Based Intrusion Detection System for Detecting Ddos and Dos Attacks on the Internet of Things Networks.
Alabsi BA; Anbar M; Rihan SDA
Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420810
[TBL] [Abstract][Full Text] [Related]
3. HDL-IDS: A Hybrid Deep Learning Architecture for Intrusion Detection in the Internet of Vehicles.
Ullah S; Khan MA; Ahmad J; Jamal SS; E Huma Z; Hassan MT; Pitropakis N; Arshad ; Buchanan WJ
Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214241
[TBL] [Abstract][Full Text] [Related]
4. Customised Intrusion Detection for an Industrial IoT Heterogeneous Network Based on Machine Learning Algorithms Called FTL-CID.
Abosata N; Al-Rubaye S; Inalhan G
Sensors (Basel); 2022 Dec; 23(1):. PubMed ID: 36616920
[TBL] [Abstract][Full Text] [Related]
5. Transport and Application Layer DDoS Attacks Detection to IoT Devices by Using Machine Learning and Deep Learning Models.
Almaraz-Rivera JG; Perez-Diaz JA; Cantoral-Ceballos JA
Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35591056
[TBL] [Abstract][Full Text] [Related]
6. The proposed hybrid deep learning intrusion prediction IoT (HDLIP-IoT) framework.
Fadel MM; El-Ghamrawy SM; Ali-Eldin AMT; Hassan MK; El-Desoky AI
PLoS One; 2022; 17(7):e0271436. PubMed ID: 35905101
[TBL] [Abstract][Full Text] [Related]
7. BoostedEnML: Efficient Technique for Detecting Cyberattacks in IoT Systems Using Boosted Ensemble Machine Learning.
Okey OD; Maidin SS; Adasme P; Lopes Rosa R; Saadi M; Carrillo Melgarejo D; Zegarra RodrÃguez D
Sensors (Basel); 2022 Sep; 22(19):. PubMed ID: 36236506
[TBL] [Abstract][Full Text] [Related]
8. Using Embedded Feature Selection and CNN for Classification on CCD-INID-V1-A New IoT Dataset.
Liu Z; Thapa N; Shaver A; Roy K; Siddula M; Yuan X; Yu A
Sensors (Basel); 2021 Jul; 21(14):. PubMed ID: 34300574
[TBL] [Abstract][Full Text] [Related]
9. Advanced Feature Extraction and Selection Approach Using Deep Learning and Aquila Optimizer for IoT Intrusion Detection System.
Fatani A; Dahou A; Al-Qaness MAA; Lu S; Abd Elaziz M
Sensors (Basel); 2021 Dec; 22(1):. PubMed ID: 35009682
[TBL] [Abstract][Full Text] [Related]
10. An Ensemble-Based Multiclass Classifier for Intrusion Detection Using Internet of Things.
Rani D; Gill NS; Gulia P; Chatterjee JM
Comput Intell Neurosci; 2022; 2022():1668676. PubMed ID: 35634069
[TBL] [Abstract][Full Text] [Related]
11. A hybrid feature weighted attention based deep learning approach for an intrusion detection system using the random forest algorithm.
Hashmi A; Barukab OM; Hamza Osman A
PLoS One; 2024; 19(5):e0302294. PubMed ID: 38781186
[TBL] [Abstract][Full Text] [Related]
12. Intrusion Detection System for IoT Based on Deep Learning and Modified Reptile Search Algorithm.
Dahou A; Abd Elaziz M; Chelloug SA; Awadallah MA; Al-Betar MA; Al-Qaness MAA; Forestiero A
Comput Intell Neurosci; 2022; 2022():6473507. PubMed ID: 37332528
[TBL] [Abstract][Full Text] [Related]
13. Intrusion Detection in IoT Using Deep Learning.
Banaamah AM; Ahmad I
Sensors (Basel); 2022 Nov; 22(21):. PubMed ID: 36366115
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Towards Deep-Learning-Driven Intrusion Detection for the Internet of Things.
Thamilarasu G; Chawla S
Sensors (Basel); 2019 Apr; 19(9):. PubMed ID: 31035611
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. IoT Intrusion Detection Taxonomy, Reference Architecture, and Analyses.
Albulayhi K; Smadi AA; Sheldon FT; Abercrombie RK
Sensors (Basel); 2021 Sep; 21(19):. PubMed ID: 34640752
[TBL] [Abstract][Full Text] [Related]
18. ROAST-IoT: A Novel Range-Optimized Attention Convolutional Scattered Technique for Intrusion Detection in IoT Networks.
Mahalingam A; Perumal G; Subburayalu G; Albathan M; Altameem A; Almakki RS; Hussain A; Abbas Q
Sensors (Basel); 2023 Sep; 23(19):. PubMed ID: 37836874
[TBL] [Abstract][Full Text] [Related]
19. Anomaly Detection in Industrial IoT Using Distributional Reinforcement Learning and Generative Adversarial Networks.
Benaddi H; Jouhari M; Ibrahimi K; Ben Othman J; Amhoud EM
Sensors (Basel); 2022 Oct; 22(21):. PubMed ID: 36365782
[TBL] [Abstract][Full Text] [Related]
20. Adaptive Machine Learning Based Distributed Denial-of-Services Attacks Detection and Mitigation System for SDN-Enabled IoT.
Aslam M; Ye D; Tariq A; Asad M; Hanif M; Ndzi D; Chelloug SA; Elaziz MA; Al-Qaness MAA; Jilani SF
Sensors (Basel); 2022 Mar; 22(7):. PubMed ID: 35408312
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]