243 related articles for article (PubMed ID: 35746241)
1. A Novel Deep Supervised Learning-Based Approach for Intrusion Detection in IoT Systems.
Baniasadi S; Rostami O; Martín D; Kaveh M
Sensors (Basel); 2022 Jun; 22(12):. PubMed ID: 35746241
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. An Effective Feature Selection Model Using Hybrid Metaheuristic Algorithms for IoT Intrusion Detection.
Kareem SS; Mostafa RR; Hashim FA; El-Bakry HM
Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214297
[TBL] [Abstract][Full Text] [Related]
4. Enhanced Anomaly Detection System for IoT Based on Improved Dynamic SBPSO.
Sarwar A; Alnajim AM; Marwat SNK; Ahmed S; Alyahya S; Khan WU
Sensors (Basel); 2022 Jun; 22(13):. PubMed ID: 35808425
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. SCSLnO-SqueezeNet: Sine Cosine-Sea Lion Optimization enabled SqueezeNet for intrusion detection in IoT.
Masthan M; Pazhanikumar K; Chavan M; Mandala J; Prasad Kumar SN
Network; 2023; 34(4):343-373. PubMed ID: 37807939
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models.
Rabie OBJ; Selvarajan S; Hasanin T; Alshareef AM; Yogesh CK; Uddin M
Sci Rep; 2024 Jan; 14(1):386. PubMed ID: 38172185
[TBL] [Abstract][Full Text] [Related]
9. Optimization of predictive performance of intrusion detection system using hybrid ensemble model for secure systems.
Abbas Q; Hina S; Sajjad H; Zaidi KS; Akbar R
PeerJ Comput Sci; 2023; 9():e1552. PubMed ID: 37705624
[TBL] [Abstract][Full Text] [Related]
10. Hybridized bio-inspired intrusion detection system for Internet of Things.
Singh R; Ujjwal RL
Front Big Data; 2023; 6():1081466. PubMed ID: 36818821
[TBL] [Abstract][Full Text] [Related]
11. Improved Intrusion Detection Based on Hybrid Deep Learning Models and Federated Learning.
Huang J; Chen Z; Liu SZ; Zhang H; Long HX
Sensors (Basel); 2024 Jun; 24(12):. PubMed ID: 38931786
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Towards an Explainable Universal Feature Set for IoT Intrusion Detection.
Alani MM; Miri A
Sensors (Basel); 2022 Jul; 22(15):. PubMed ID: 35957249
[TBL] [Abstract][Full Text] [Related]
14. Towards Developing a Robust Intrusion Detection Model Using Hadoop-Spark and Data Augmentation for IoT Networks.
Manzano Sanchez RA; Zaman M; Goel N; Naik K; Joshi R
Sensors (Basel); 2022 Oct; 22(20):. PubMed ID: 36298077
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Towards an Effective Intrusion Detection Model Using Focal Loss Variational Autoencoder for Internet of Things (IoT).
Khanam S; Ahmedy I; Idris MYI; Jaward MH
Sensors (Basel); 2022 Aug; 22(15):. PubMed ID: 35957379
[TBL] [Abstract][Full Text] [Related]
17. Development and Validation of a Cyber-Physical System Leveraging EFDPN for Enhanced WSN-IoT Network Security.
Krishnasamy S; Alotaibi MB; Alehaideb LI; Abbas Q
Sensors (Basel); 2023 Nov; 23(22):. PubMed ID: 38005679
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. A Hybrid Spider Monkey and Hierarchical Particle Swarm Optimization Approach for Intrusion Detection on Internet of Things.
Ethala S; Kumarappan A
Sensors (Basel); 2022 Nov; 22(21):. PubMed ID: 36366263
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
