150 related articles for article (PubMed ID: 37177603)
1. Intrusion Detection Method for Internet of Vehicles Based on Parallel Analysis of Spatio-Temporal Features.
Xing L; Wang K; Wu H; Ma H; Zhang X
Sensors (Basel); 2023 Apr; 23(9):. PubMed ID: 37177603
[TBL] [Abstract][Full Text] [Related]
2. 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]
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. Multi-Classification and Tree-Based Ensemble Network for the Intrusion Detection System in the Internet of Vehicles.
Gou W; Zhang H; Zhang R
Sensors (Basel); 2023 Oct; 23(21):. PubMed ID: 37960485
[TBL] [Abstract][Full Text] [Related]
5. Network Intrusion Detection Technology Based on Convolutional Neural Network and BiGRU.
Cao B; Li C; Song Y; Fan X
Comput Intell Neurosci; 2022; 2022():1942847. PubMed ID: 35463242
[TBL] [Abstract][Full Text] [Related]
6. A novel multi-module integrated intrusion detection system for high-dimensional imbalanced data.
Cui J; Zong L; Xie J; Tang M
Appl Intell (Dordr); 2023; 53(1):272-288. PubMed ID: 35440844
[TBL] [Abstract][Full Text] [Related]
7. Intrusion Detection System in the Advanced Metering Infrastructure: A Cross-Layer Feature-Fusion CNN-LSTM-Based Approach.
Yao R; Wang N; Liu Z; Chen P; Sheng X
Sensors (Basel); 2021 Jan; 21(2):. PubMed ID: 33477451
[TBL] [Abstract][Full Text] [Related]
8. GSOOA-1DDRSN: Network traffic anomaly detection based on deep residual shrinkage networks.
Zuo F; Zhang D; Li L; He Q; Deng J
Heliyon; 2024 Jun; 10(11):e32087. PubMed ID: 38868050
[TBL] [Abstract][Full Text] [Related]
9. A Network Intrusion Detection System Using Hybrid Multilayer Deep Learning Model.
Umair MB; Iqbal Z; Faraz MA; Khan MA; Zhang YD; Razmjooy N; Kadry S
Big Data; 2022 Jun; ():. PubMed ID: 35704031
[TBL] [Abstract][Full Text] [Related]
10. An improved long short term memory network for intrusion detection.
Awad AA; Ali AF; Gaber T
PLoS One; 2023; 18(8):e0284795. PubMed ID: 37527249
[TBL] [Abstract][Full Text] [Related]
11. GT-LSTM: A spatio-temporal ensemble network for traffic flow prediction.
Luo Y; Zheng J; Wang X; Tao Y; Jiang X
Neural Netw; 2024 Mar; 171():251-262. PubMed ID: 38103435
[TBL] [Abstract][Full Text] [Related]
12. Improving the Classification Effectiveness of Intrusion Detection by Using Improved Conditional Variational AutoEncoder and Deep Neural Network.
Yang Y; Zheng K; Wu C; Yang Y
Sensors (Basel); 2019 Jun; 19(11):. PubMed ID: 31159512
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Few-Shot network intrusion detection based on prototypical capsule network with attention mechanism.
Sun H; Wan L; Liu M; Wang B
PLoS One; 2023; 18(4):e0284632. PubMed ID: 37079539
[TBL] [Abstract][Full Text] [Related]
15. Network Intrusion Detection Method Based on FCWGAN and BiLSTM.
Ma Z; Li J; Song Y; Wu X; Chen C
Comput Intell Neurosci; 2022; 2022():6591140. PubMed ID: 35463253
[TBL] [Abstract][Full Text] [Related]
16.
Imrana Y; Xiang Y; Ali L; Abdul-Rauf Z; Hu YC; Kadry S; Lim S
Sensors (Basel); 2022 Mar; 22(5):. PubMed ID: 35271164
[TBL] [Abstract][Full Text] [Related]
17. Application of deep autoencoder as an one-class classifier for unsupervised network intrusion detection: a comparative evaluation.
Vaiyapuri T; Binbusayyis A
PeerJ Comput Sci; 2020; 6():e327. PubMed ID: 33816977
[TBL] [Abstract][Full Text] [Related]
18. Enhancing Network Intrusion Detection Using an Ensemble Voting Classifier for Internet of Things.
Farooqi AH; Akhtar S; Rahman H; Sadiq T; Abbass W
Sensors (Basel); 2023 Dec; 24(1):. PubMed ID: 38202990
[TBL] [Abstract][Full Text] [Related]
19. Comprehensive analysis and recommendation of feature evaluation measures for intrusion detection.
Binbusayyis A; Vaiyapuri T
Heliyon; 2020 Jul; 6(7):e04262. PubMed ID: 32685709
[TBL] [Abstract][Full Text] [Related]
20. Machine learning and deep learning approaches in IoT.
Javed A; Awais M; Shoaib M; Khurshid KS; Othman M
PeerJ Comput Sci; 2023; 9():e1204. PubMed ID: 37346567
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]