632 related articles for article (PubMed ID: 36616920)
1. 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]
2. Rank and Wormhole Attack Detection Model for RPL-Based Internet of Things Using Machine Learning.
Zahra F; Jhanjhi NZ; Brohi SN; Khan NA; Masud M; AlZain MA
Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146111
[TBL] [Abstract][Full Text] [Related]
3. THC-RPL: A lightweight Trust-enabled routing in RPL-based IoT networks against Sybil attack.
Arshad D; Asim M; Tariq N; Baker T; Tawfik H; Al-Jumeily Obe D
PLoS One; 2022; 17(7):e0271277. PubMed ID: 35901074
[TBL] [Abstract][Full Text] [Related]
4. A Trust-Based Model for Secure Routing against RPL Attacks in Internet of Things.
Muzammal SM; Murugesan RK; Jhanjhi NZ; Humayun M; Ibrahim AO; Abdelmaboud A
Sensors (Basel); 2022 Sep; 22(18):. PubMed ID: 36146400
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. A Dense Neural Network Approach for Detecting Clone ID Attacks on the RPL Protocol of the IoT.
Morales-Molina CD; Hernandez-Suarez A; Sanchez-Perez G; Toscano-Medina LK; Perez-Meana H; Olivares-Mercado J; Portillo-Portillo J; Sanchez V; Garcia-Villalba LJ
Sensors (Basel); 2021 May; 21(9):. PubMed ID: 34063577
[TBL] [Abstract][Full Text] [Related]
7. Multi-Mobile Agent Trust Framework for Mitigating Internal Attacks and Augmenting RPL Security.
Farooq U; Asim M; Tariq N; Baker T; Awad AI
Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746321
[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. 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]
10. Transfer-Learning-Based Intrusion Detection Framework in IoT Networks.
Rodríguez E; Valls P; Otero B; Costa JJ; Verdú J; Pajuelo MA; Canal R
Sensors (Basel); 2022 Jul; 22(15):. PubMed ID: 35957178
[TBL] [Abstract][Full Text] [Related]
11. Attentive transformer deep learning algorithm for intrusion detection on IoT systems using automatic Xplainable feature selection.
Zegarra Rodríguez 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]
12. A hybrid deep learning-based intrusion detection system for IoT networks.
Khan NW; Alshehri MS; Khan MA; Almakdi S; Moradpoor N; Alazeb A; Ullah S; Naz N; Ahmad J
Math Biosci Eng; 2023 Jun; 20(8):13491-13520. PubMed ID: 37679099
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. Fog-Assisted Deep-Learning-Empowered Intrusion Detection System for RPL-Based Resource-Constrained Smart Industries.
Attique D; Wang H; Wang P
Sensors (Basel); 2022 Dec; 22(23):. PubMed ID: 36502115
[TBL] [Abstract][Full Text] [Related]
16. IDS for Industrial Applications: A Federated Learning Approach with Active Personalization.
Kelli V; Argyriou V; Lagkas T; Fragulis G; Grigoriou E; Sarigiannidis P
Sensors (Basel); 2021 Oct; 21(20):. PubMed ID: 34695954
[TBL] [Abstract][Full Text] [Related]
17. 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 Rodríguez D
Sensors (Basel); 2022 Sep; 22(19):. PubMed ID: 36236506
[TBL] [Abstract][Full Text] [Related]
18. Dynamic Adaptation Attack Detection Model for a Distributed Multi-Access Edge Computing Smart City.
Alotaibi NS; Ahmed HI; Kamel SOM
Sensors (Basel); 2023 Aug; 23(16):. PubMed ID: 37631671
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Efficient Anomaly Detection for Smart Hospital IoT Systems.
Said AM; Yahyaoui A; Abdellatif T
Sensors (Basel); 2021 Feb; 21(4):. PubMed ID: 33546169
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
