Staganography-based healthcare model for safe handling of multimedia health care information using VR
Due to the development of the Internet of Things (IoT) in the medical field, special medical equipment such as CT and MRI, which are used in medical institutions, can be used for digital healthcare services by medical staff using VR. However, the integrity and confidentiality of multimedia health ca...
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Veröffentlicht in: | Multimedia tools and applications 2020-06, Vol.79 (23-24), p.16593-16607 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Due to the development of the Internet of Things (IoT) in the medical field, special medical equipment such as CT and MRI, which are used in medical institutions, can be used for digital healthcare services by medical staff using VR. However, the integrity and confidentiality of multimedia health care information handled through special medical equipment using VR is still one of the major issues that cause many problems in the application sector of medical services. This paper proposes a steganography-based digital healthcare model to ensure the integrity of user multimedia image information processed through special medical equipment using VR. The proposed model aims to prevent illegal use by the medical team through VR of multimedia image information collected through special medical equipment without the consent of the user. The proposed model uses the user’s signature and credentials in a hybrid cipher for multimedia health care information. The proposed model has features that ensure the integrity and confidentiality of the user’s medical image information without disturbing the user’s multimedia image quality filmed through special medical equipment. In addition, multimedia medical information viewed through VR is not exploited without the consent of users because the user’s signature information was encrypted using steganography-based cryptography-based ciphering techniques. In particular, the proposed model provides real-time guidance related to users’ health conditions and first-aid care in connection with the hospital health service to improve the management of medical image information for users in hospitals. As a result of the performance evaluation, the proposed model averaged 12.5% improvement in the management of the user’s medical image information compared to the existing technique, and the user’s accuracy in extracting medical image information was averaged 10.4% higher than that of the existing technique. |
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ISSN: | 1380-7501 1573-7721 |
DOI: | 10.1007/s11042-019-07833-5 |