1、Exploring PracticalConsiderations andApplications for PrivacyEnhancing Technologies 2024 ISACA.All rights reserved.PrivacyC O N T E NT S4Introduction4Defining PETs5Driving Growth in PET Markets6Classifying&Categorizing PETs7 /Trusted Execution Environment8 /Benefits8 /Limitations and Challenges8 /Ex

2、ample Applications8 /Homomorphic Encryption9 /Benefits9 /Limitations and Challenges9 /Example Applications9 /Secure Multiparty Computation11 /Benefits11 /Limitations and Challenges11 /Example Applications11 /Federated Learning12 /Benefits12 /Limitations and Challenges12 /Example Applications13 /Diff

3、erential Privacy14 /Benefits14 /Limitations and Challenges14 /Example Applications14 /Synthetic Data14 /Benefits14 /Limitations and Challenges15 /Example Applications15 /Zero-Knowledge Proof15 /Benefits15 /Limitations and Challenges15 /Example Applications16Key Factors in PET Selection17Regulatory P

4、erspectives on PETs18 /Leveraging PETs for Privacy by Designand Other Privacy Principles19 /Legal Uncertainties Hindering PETAdoption and Remedial Strategies20Conclusion21Appendix:Case Studies21 /Privacy Enhancing Technologies asBusiness Enablers21 /Case Study 1:Insurance sectorprivacy-preserving pr

5、edictive analytics usingsynthetic data22 /Case Study 2:Healthcaresector privacy-preserving cardiovascular riskprediction models23 /Case Study 3:Telecomsector secure collaboration to improvecustomer engagement using federatedprivacy-preserving analytics24 /Case Study 4:Public sector andfinancial serv

6、ices confidential computing forcybercrime investigations25 /Case Study 5:Auditable data analyticsbased on privacy threat modeling for theautomotive industry26Acknowledgments2EXPLORING PRACTICAL CONSIDERATIONS AND APPLICATIONS FOR PRIVACY ENHANCING TECHNOLOGIES 2024 ISACA.All Rights Reserved.A B S T