Medical Imaging Data Security
| dc.contributor.author | Abdi, Hadjer | en_US |
| dc.date.accessioned | 2024-10-17T08:41:42Z | en_US |
| dc.date.available | 2024-10-17T08:41:42Z | en_US |
| dc.date.issued | 2024-06-01 | en_US |
| dc.description.abstract | Telemedicineleveragesadvancedtechnologiestoenhancehealthcare,makingitmoreaccessibleand cost-effective.Thisincludesimprovedsharingofmedicalimagingdataforaccuratediagnosesand treatments.However,dataexchangeraisesprivacyandsecurityconcerns. This thesisaimstoenhancemedicalimagingdatasecuritybyembeddingdigitalwatermarksand the ElectronicPatientRecord(EPR)withinimages,ensuringdataintegrityandconfidentiality.It combinesLiftingWaveletTransform(LWT)andFastWalshHadamardTransform(FWHT)for robustness andimperceptibility,withadditionalsecurityviaErrorCorrectingCode(ECC)and chaoticencryption. The ArtificialBeeColony(ABC)algorithmfurtherenhancesperformance.Testingonvarious datasets showedthemethod’ssuperiorityovertraditionaltechniquesusingmetricssuchasPSNR, SSIM, NC,andBER. | en_US |
| dc.identifier.uri | https://dspace.univ-tlemcen.dz/handle/112/23277 | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | University of Tlemcen | en_US |
| dc.relation.ispartofseries | 2680 inv; | en_US |
| dc.subject | Medical Images,MedicalDataSecurity,DataIntegrity,DigitalWatermarking,En- cryption, LiftingWaveletTransform,FastWalshHadamardTransform,ArtificialBeeColony | en_US |
| dc.title | Medical Imaging Data Security | en_US |
| dc.type | Thesis | en_US |