133 related articles for article (PubMed ID: 36298351)
1. Detecting Reconnaissance and Discovery Tactics from the MITRE ATT&CK Framework in Zeek Conn Logs Using Spark's Machine Learning in the Big Data Framework.
Bagui S; Mink D; Bagui S; Ghosh T; McElroy T; Paredes E; Khasnavis N; Plenkers R
Sensors (Basel); 2022 Oct; 22(20):. PubMed ID: 36298351
[TBL] [Abstract][Full Text] [Related]
2. Evaluation of Machine Learning Techniques for Traffic Flow-Based Intrusion Detection.
Rodríguez M; Alesanco Á; Mehavilla L; García J
Sensors (Basel); 2022 Nov; 22(23):. PubMed ID: 36502028
[TBL] [Abstract][Full Text] [Related]
3. Assessing MITRE ATT&CK Risk Using a Cyber-Security Culture Framework.
Georgiadou A; Mouzakitis S; Askounis D
Sensors (Basel); 2021 May; 21(9):. PubMed ID: 34065086
[TBL] [Abstract][Full Text] [Related]
4. Classification and Explanation for Intrusion Detection System Based on Ensemble Trees and SHAP Method.
Le TT; Kim H; Kang H; Kim H
Sensors (Basel); 2022 Feb; 22(3):. PubMed ID: 35161899
[TBL] [Abstract][Full Text] [Related]
5. Predicting Chronic Kidney Disease Using Hybrid Machine Learning Based on Apache Spark.
Abdel-Fattah MA; Othman NA; Goher N
Comput Intell Neurosci; 2022; 2022():9898831. PubMed ID: 35251161
[TBL] [Abstract][Full Text] [Related]
6. Performance Evaluation of Data-driven Intelligent Algorithms for Big data Ecosystem.
Junaid M; Ali S; Siddiqui IF; Nam C; Qureshi NMF; Kim J; Shin DR
Wirel Pers Commun; 2022; 126(3):2403-2423. PubMed ID: 36033548
[TBL] [Abstract][Full Text] [Related]
7. Incremental Ant-Miner Classifier for Online Big Data Analytics.
Al-Dawsari A; Al-Turaiki I; Kurdi H
Sensors (Basel); 2022 Mar; 22(6):. PubMed ID: 35336394
[TBL] [Abstract][Full Text] [Related]
8. Robust genetic machine learning ensemble model for intrusion detection in network traffic.
Akhtar MA; Qadri SMO; Siddiqui MA; Mustafa SMN; Javaid S; Ali SA
Sci Rep; 2023 Oct; 13(1):17227. PubMed ID: 37821521
[TBL] [Abstract][Full Text] [Related]
9. Network intrusion detection using oversampling technique and machine learning algorithms.
Ahmed HA; Hameed A; Bawany NZ
PeerJ Comput Sci; 2022; 8():e820. PubMed ID: 35111914
[TBL] [Abstract][Full Text] [Related]
10. An investigation and comparison of machine learning approaches for intrusion detection in IoMT network.
Binbusayyis A; Alaskar H; Vaiyapuri T; Dinesh M
J Supercomput; 2022; 78(15):17403-17422. PubMed ID: 35601090
[TBL] [Abstract][Full Text] [Related]
11. Classification of Normal and Malicious Traffic Based on an Ensemble of Machine Learning for a Vehicle CAN-Network.
Alalwany E; Mahgoub I
Sensors (Basel); 2022 Nov; 22(23):. PubMed ID: 36501896
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. An Aggregated Mutual Information Based Feature Selection with Machine Learning Methods for Enhancing IoT Botnet Attack Detection.
Al-Sarem M; Saeed F; Alkhammash EH; Alghamdi NS
Sensors (Basel); 2021 Dec; 22(1):. PubMed ID: 35009725
[TBL] [Abstract][Full Text] [Related]
14. Improving the Performance of Machine Learning-Based Network Intrusion Detection Systems on the UNSW-NB15 Dataset.
Moualla S; Khorzom K; Jafar A
Comput Intell Neurosci; 2021; 2021():5557577. PubMed ID: 34220999
[TBL] [Abstract][Full Text] [Related]
15. Machine Learning Based Identification of Microseismic Signals Using Characteristic Parameters.
Peng K; Tang Z; Dong L; Sun D
Sensors (Basel); 2021 Oct; 21(21):. PubMed ID: 34770274
[TBL] [Abstract][Full Text] [Related]
16. Multi-Layered Filtration Framework for Efficient Detection of Network Attacks Using Machine Learning.
Paracha MA; Sadiq M; Liang J; Durad MH; Sheeraz M
Sensors (Basel); 2023 Jun; 23(13):. PubMed ID: 37447678
[TBL] [Abstract][Full Text] [Related]
17. Real-time internet of medical things framework for early detection of Covid-19.
Yildirim E; Cicioğlu M; Çalhan A
Neural Comput Appl; 2022; 34(22):20365-20378. PubMed ID: 35912366
[TBL] [Abstract][Full Text] [Related]
18. Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms.
Maniruzzaman M; Jahanur Rahman M; Ahammed B; Abedin MM; Suri HS; Biswas M; El-Baz A; Bangeas P; Tsoulfas G; Suri JS
Comput Methods Programs Biomed; 2019 Jul; 176():173-193. PubMed ID: 31200905
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Cyberattack Models for Ship Equipment Based on the MITRE ATT&CK Framework.
Jo Y; Choi O; You J; Cha Y; Lee DH
Sensors (Basel); 2022 Feb; 22(5):. PubMed ID: 35271006
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]