title: Secure access to patient's health records using SpeechXRays a mutli-channel biometrics platform for user authentication.
abstract: The most commonly used method for user authentication in ICT services or systems is the application of identification tools such as passwords or personal identification numbers (PINs). The rapid development in ICT technology regarding smart devices (laptops, tablets and smartphones) has allowed also the advance of hardware components that capture several biometric traits such as fingerprints and voice. These components are aiming among others to overcome weaknesses and flaws of password usage under the prism of improved user authentication with higher level of security, privacy and usability. To this respect, the potential application of biometrics for secure user authentication regarding access in systems with sensitive data (i.e. patient's data from electronic health records) shows great potentials. SpeechXRays aims to provide a user recognition platform based on biometrics of voice acoustics analysis and audio-visual identity verification. Among others, the platform aims to be applied as an authentication tool for medical personnel in order to gain specific access to patient's electronic health records. In this work a short description of SpeechXrays implementation tool regarding eHealth is provided and analyzed. This study explores security and privacy issues, and offers a comprehensive overview of biometrics technology applications in addressing the e-Health security challenges. We present and describe the necessary requirement for an eHealth platform concerning biometric security.
authors.forename: Emmanouil G
authors.initials: EG
authors.lastname: Spanakis
authors.forename: Marios
authors.initials: M
authors.lastname: Spanakis
authors.forename: Apostolos
authors.initials: A
authors.lastname: Karantanas
authors.forename: Kostas
authors.initials: K
authors.lastname: Marias
mesh_terms: D022126:Access to Information; D000162:Acoustics; D056667:Biometric Identification / Q000295:instrumentation* / Q000379:methods*; D001699:Biometry; D016494:Computer Security / Q000295:instrumentation*; D003199:Computer Systems; D003219:Confidentiality; D003878:Dermatoglyphics; D057286:Electronic Health Records; D005189:False Positive Reactions; D006801:Humans; D020407:Internet; D010003:Osteoarthritis / Q000175:diagnosis* / Q000503:physiopathology; D010865:Pilot Projects; D018907:Privacy; D049250:Speech Recognition Software; D017216:Telemedicine; D014831:Voice