Arabic text watermarking tuned for medical e-record semi-authentication
With increasing current healthcare attention, medical e-records have gained vital importance. Medical practical centers such as hospitals and clinics perform common treatments to patients, consequently generating humongous health data to be recorded, needing to be trustfully shared instantaneously between intended specialists for proper diagnosis and treatment. All sensitive e-records need data privacy and authentication with very special priority and care, as can be considered via watermarking. This study focuses on Arabic text watermarking semi-verification utilizing recent counting-based secret-sharing to partially validate the ownership and correctness. The benefit of this approach is its semi-trust of e-records, as needed services provided, even if complete text medical report is a bit delayed for full verification. The exploration tested its proposed strategy on standard Arabic benchmark of 42 Nawawi Hadiths comparing with several related watermarking algorithms in terms of accuracy, capacity, security, and robustness. The research contribution provided promising remarks, which can also be useful for Urdu and Farsi texting opening doors for new semi-watermarking strategies and applications to be tuned for different other languages gaining popularity.