2014 · 51 citations · 21 references
ComputingBiomedical EngineeringComputer ScienceComputer SecurityPrivacy EngineeringSecurity ArchitectureData ProtectionParticipant PrivacyPrivacy ProtectionPrivacy Requirements EngineeringPrivacy Risk AssessmentProtected Health InformationBrain-computer Interface SecurityCyber-physical Systems SafetyNoninvasive Brain-computer InterfacesPersonalized User InterfacesPrivacy-enhancing TechnologiesPrivacy-preserving ProcessingSide-channel PrivacyUser-level Privacy
An increasing number of Brain-Computer Interfaces (BCIs) are being developed in medical and nonmedical fields, including marketing, gaming and entertainment industries. BCI-enabled technology carries a great potential to improve and enhance the quality of human lives. It provides people suffering from severe neuromuscular disorders with a way to interact with the external environment. It also enables a more personalized user experience in gaming and entertainment. These BCI applications are, however, not without risk. Established engineering practices set guarantees on performance, reliability and physical safety of BCIs. But no guarantees or standards are currently in place regarding user privacy and security. In this paper, we identify privacy and security issues arising from possible misuse or inappropriate use of BCIs. In particular, we explore how current and emerging non-invasive BCI platforms can be used to extract private information, and we suggest an interdisciplinary approach to mitigating this problem. We then propose a tool to prevent this side-channel extraction of users' private information. This is a first step towards making BCI-enabled technologies secure and privacy preserving.
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Albert R. Jonsen · PubMed · 1994 · 686 citations
Medicine, Nephrology, Bioethics +7
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