180 related articles for article (PubMed ID: 37346569)
21. The role of diversity and ensemble learning in credit card fraud detection.
Paldino GM; Lebichot B; Le Borgne YA; Siblini W; Oblé F; Boracchi G; Bontempi G
Adv Data Anal Classif; 2022 Sep; ():1-25. PubMed ID: 36188101
[TBL] [Abstract][Full Text] [Related]
22. A systematic literature review of cyber-security data repositories and performance assessment metrics for semi-supervised learning.
Mvula PK; Branco P; Jourdan GV; Viktor HL
Discov Data; 2023; 1(1):4. PubMed ID: 37038388
[TBL] [Abstract][Full Text] [Related]
23. Artificial Intelligence Solutions to Detect Fraud in Healthcare Settings: A Scoping Review.
Iqbal MS; Abd-Alrazaq A; Househ M
Stud Health Technol Inform; 2022 Jun; 295():20-23. PubMed ID: 35773795
[TBL] [Abstract][Full Text] [Related]
24. Diverging deep learning cognitive computing techniques into cyber forensics.
Karie NM; Kebande VR; Venter HS
Forensic Sci Int Synerg; 2019; 1():61-67. PubMed ID: 32411955
[TBL] [Abstract][Full Text] [Related]
25. FraudMiner: a novel credit card fraud detection model based on frequent itemset mining.
Seeja KR; Zareapoor M
ScientificWorldJournal; 2014; 2014():252797. PubMed ID: 25302317
[TBL] [Abstract][Full Text] [Related]
26. Machine Learning-Based Anomaly Detection in NFV: A Comprehensive Survey.
Zehra S; Faseeha U; Syed HJ; Samad F; Ibrahim AO; Abulfaraj AW; Nagmeldin W
Sensors (Basel); 2023 Jun; 23(11):. PubMed ID: 37300067
[TBL] [Abstract][Full Text] [Related]
27. Improved Wireless Medical Cyber-Physical System (IWMCPS) Based on Machine Learning.
Alzahrani A; Alshehri M; AlGhamdi R; Sharma SK
Healthcare (Basel); 2023 Jan; 11(3):. PubMed ID: 36766959
[TBL] [Abstract][Full Text] [Related]
28. A comprehensive survey of AI-enabled phishing attacks detection techniques.
Basit A; Zafar M; Liu X; Javed AR; Jalil Z; Kifayat K
Telecommun Syst; 2021; 76(1):139-154. PubMed ID: 33110340
[TBL] [Abstract][Full Text] [Related]
29. A behaviour biometrics dataset for user identification and authentication.
Nnamoko N; Barrowclough J; Liptrott M; Korkontzelos I
Data Brief; 2022 Dec; 45():108728. PubMed ID: 36426040
[TBL] [Abstract][Full Text] [Related]
30. Influence of Human Factors on Cyber Security within Healthcare Organisations: A Systematic Review.
Nifakos S; Chandramouli K; Nikolaou CK; Papachristou P; Koch S; Panaousis E; Bonacina S
Sensors (Basel); 2021 Jul; 21(15):. PubMed ID: 34372354
[No Abstract] [Full Text] [Related]
31. Artificial Intelligence and Human Psychology in Online Transaction Fraud.
Firdaus R; Xue Y; Gang L; Sibt E Ali M
Front Psychol; 2022; 13():947234. PubMed ID: 36304851
[TBL] [Abstract][Full Text] [Related]
32. A Deep Learning Ensemble for Network Anomaly and Cyber-Attack Detection.
Dutta V; Choraś M; Pawlicki M; Kozik R
Sensors (Basel); 2020 Aug; 20(16):. PubMed ID: 32824187
[TBL] [Abstract][Full Text] [Related]
33. Securing Industrial Control Systems: Components, Cyber Threats, and Machine Learning-Driven Defense Strategies.
Nankya M; Chataut R; Akl R
Sensors (Basel); 2023 Oct; 23(21):. PubMed ID: 37960539
[TBL] [Abstract][Full Text] [Related]
34. The determinants of investment fraud: A machine learning and artificial intelligence approach.
Lokanan M
Front Big Data; 2022; 5():961039. PubMed ID: 36299659
[TBL] [Abstract][Full Text] [Related]
35. Cybersecurity and Cyber Forensics for Smart Cities: A Comprehensive Literature Review and Survey.
Kim K; Alshenaifi IM; Ramachandran S; Kim J; Zia T; Almorjan A
Sensors (Basel); 2023 Apr; 23(7):. PubMed ID: 37050740
[TBL] [Abstract][Full Text] [Related]
36. A stacked deep learning approach to cyber-attacks detection in industrial systems: application to power system and gas pipeline systems.
Wang W; Harrou F; Bouyeddou B; Senouci SM; Sun Y
Cluster Comput; 2022; 25(1):561-578. PubMed ID: 34629940
[TBL] [Abstract][Full Text] [Related]
37. Cyber Threat Intelligence-Based Malicious URL Detection Model Using Ensemble Learning.
Ghaleb FA; Alsaedi M; Saeed F; Ahmad J; Alasli M
Sensors (Basel); 2022 Apr; 22(9):. PubMed ID: 35591061
[TBL] [Abstract][Full Text] [Related]
38. Anomaly detection based on a dynamic Markov model.
Ren H; Ye Z; Li Z
Inf Sci (N Y); 2017 Oct; 411():52-65. PubMed ID: 32226110
[TBL] [Abstract][Full Text] [Related]
39. An intelligent payment card fraud detection system.
Seera M; Lim CP; Kumar A; Dhamotharan L; Tan KH
Ann Oper Res; 2021 Jun; ():1-23. PubMed ID: 34121790
[TBL] [Abstract][Full Text] [Related]
40. Deep Learning-Based Anomaly Detection in Video Surveillance: A Survey.
Duong HT; Le VT; Hoang VT
Sensors (Basel); 2023 May; 23(11):. PubMed ID: 37299751
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
