- Title
- Protection of records and data authentication based on secret shares and watermarking
- Creator
- Ali, Zulfiqar; Imran, Muhammad; McClean, Sally; Khan, Naveed; Shoaib, Muhammad
- Date
- 2019
- Type
- Text; Journal article
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/183029
- Identifier
- vital:16222
- Identifier
-
https://doi.org/10.1016/j.future.2019.01.050
- Identifier
- ISBN:0167-739X (ISSN)
- Abstract
- The rapid growth in communication technology facilitates the health industry in many aspects from transmission of sensor's data to real-time diagnosis using cloud-based frameworks. However, the secure transmission of data and its authenticity become a challenging task, especially, for health-related applications. The medical information must be accessible to only the relevant healthcare staff to avoid any unfortunate circumstances for the patient as well as for the healthcare providers. Therefore, a method to protect the identity of a patient and authentication of transmitted data is proposed in this study. The proposed method provides dual protection. First, it encrypts the identity using Shamir's secret sharing scheme without the increase in dimension of the original identity. Second, the identity is watermarked using zero-watermarking to avoid any distortion into the host signal. The experimental results show that the proposed method encrypts, embeds and extracts identities reliably. Moreover, in case of malicious attack, the method distorts the embedded identity which provides a clear indication of fabrication. An automatic disorder detection system using Mel-frequency cepstral coefficients and Gaussian mixture model is also implemented which concludes that malicious attacks greatly impact on the accurate diagnosis of disorders. © 2019 Elsevier B.V.
- Publisher
- Elsevier B.V.
- Relation
- Future Generation Computer Systems Vol. 98, no. (2019), p. 331-341
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2019 Elsevier B.V.
- Rights
- Open Access
- Subject
- 4604 Cybersecurity and Privacy; 4606 Distributed Computing and Systems Software
- Full Text
- Reviewed
- Funder
- This work was supported by the Deanship of Scientific Research, King Saud University, Riyadh, Saudi Arabia , for funding through the Research Group under Project RG-1439-036 and BTIIC (BT Ireland Innovation Centre), funded by BT and Invest Northern Ireland, UK .
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