272 related articles for article (PubMed ID: 36846700)
1. EIFDAA: Evaluation of an IDS with function-discarding adversarial attacks in the IIoT.
Li S; Wang J; Wang Y; Zhou G; Zhao Y
Heliyon; 2023 Feb; 9(2):e13520. PubMed ID: 36846700
[TBL] [Abstract][Full Text] [Related]
2. SGAN-IDS: Self-Attention-Based Generative Adversarial Network against Intrusion Detection Systems.
Aldhaheri S; Alhuzali A
Sensors (Basel); 2023 Sep; 23(18):. PubMed ID: 37765852
[TBL] [Abstract][Full Text] [Related]
3. Development of a Machine-Learning Intrusion Detection System and Testing of Its Performance Using a Generative Adversarial Network.
Mari AG; Zinca D; Dobrota V
Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772355
[TBL] [Abstract][Full Text] [Related]
4. RobEns: Robust Ensemble Adversarial Machine Learning Framework for Securing IoT Traffic.
Alkadi S; Al-Ahmadi S; Ben Ismail MM
Sensors (Basel); 2024 Apr; 24(8):. PubMed ID: 38676241
[TBL] [Abstract][Full Text] [Related]
5. Adversarial attacks against supervised machine learning based network intrusion detection systems.
Alshahrani E; Alghazzawi D; Alotaibi R; Rabie O
PLoS One; 2022; 17(10):e0275971. PubMed ID: 36240162
[TBL] [Abstract][Full Text] [Related]
6. Adversarial Attacks on Intrusion Detection Systems in In-Vehicle Networks of Connected and Autonomous Vehicles.
Aloraini F; Javed A; Rana O
Sensors (Basel); 2024 Jun; 24(12):. PubMed ID: 38931632
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. 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]
10. DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion Detection.
Strickland C; Zakar M; Saha C; Soltani Nejad S; Tasnim N; Lizotte DJ; Haque A
Sensors (Basel); 2024 Apr; 24(9):. PubMed ID: 38732852
[TBL] [Abstract][Full Text] [Related]
11. Defending against adversarial attacks on Covid-19 classifier: A denoiser-based approach.
Kansal K; Krishna PS; Jain PB; R S; Honnavalli P; Eswaran S
Heliyon; 2022 Oct; 8(10):e11209. PubMed ID: 36311356
[TBL] [Abstract][Full Text] [Related]
12. Learning About the Effects of Alert Uncertainty in Attack and Defend Decisions via Cognitive Modeling.
Aggarwal P; Moisan F; Gonzalez C; Dutt V
Hum Factors; 2022 Mar; 64(2):343-358. PubMed ID: 32954818
[TBL] [Abstract][Full Text] [Related]
13. Data augmentation-based conditional Wasserstein generative adversarial network-gradient penalty for XSS attack detection system.
Mokbal FMM; Wang D; Wang X; Fu L
PeerJ Comput Sci; 2020; 6():e328. PubMed ID: 33816978
[TBL] [Abstract][Full Text] [Related]
14. Robust Medical Diagnosis: A Novel Two-Phase Deep Learning Framework for Adversarial Proof Disease Detection in Radiology Images.
Haque SBU; Zafar A
J Imaging Inform Med; 2024 Feb; 37(1):308-338. PubMed ID: 38343214
[TBL] [Abstract][Full Text] [Related]
15. Improving the Transferability of Adversarial Examples With a Noise Data Enhancement Framework and Random Erasing.
Xie P; Shi S; Yang S; Qiao K; Liang N; Wang L; Chen J; Hu G; Yan B
Front Neurorobot; 2021; 15():784053. PubMed ID: 34955802
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Deep Generative Learning Models for Cloud Intrusion Detection Systems.
Vu L; Nguyen QU; Nguyen DN; Hoang DT; Dutkiewicz E
IEEE Trans Cybern; 2023 Jan; 53(1):565-577. PubMed ID: 35439159
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Sliding principal component and dynamic reward reinforcement learning based IIoT attack detection.
Ellappan V; Mahendran A; Subramanian M; Jotheeswaran J; Khadidos AO; Khadidos AO; Selvarajan S
Sci Rep; 2023 Nov; 13(1):20843. PubMed ID: 38012161
[TBL] [Abstract][Full Text] [Related]
20. Untargeted white-box adversarial attack to break into deep leaning based COVID-19 monitoring face mask detection system.
Sheikh BUH; Zafar A
Multimed Tools Appl; 2023 May; ():1-27. PubMed ID: 37362697
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]