International Journal of Computational and Experimental Science and Engineering, Journal Year: 2024, Volume and Issue: 10(4)
Published: Nov. 24, 2024
In a simulated healthcare setting, the algorithms were assessed based on organized threat insight data, inconsistency location executed with blockchain-enhanced access control, and machine learning-driven interruption detection. The test results depiction showed that all calculations feasible, an accuracy range of 0.88-0.94 lift defined between 0.75 1; knowledge values ranging from.86 to.92, F1 scores above.90 are displayed as follows: Above all, TIAA excelled in risk insights management; ADA exceeded expectations detecting inconsistencies; BACA used blockchain to fortify control; ML-IDS produced remarkable intrusion importance these addressing particular cybersecurity concerns industry is highlighted through comparative comparison similar studies. suggested relevant growing conversation about because they offer comprehensive strategy protect private health guarantee reliability assessment models, organizations against variety evolving cyberthreats.
Language: Английский