Extended forgery detection framework for COVID-19 medical data using convolutional neural network

• Main Authors: Gill, Sajid Habib, Sheikh, Noor Ahmed, Rajpar, Samina, ul Abidin, Zain, Jhanjhi, N. Z., Ahmad, Muneer, Razzaq, Mirza Abdur, Alshamrani, Sultan S., Malik, Yasir, Jaafar, Fehmi
• Format: Article
• Published: Tech Science Press 2021
• Subjects: QA75 Electronic computers. Computer science; TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/34345/

Medical data tampering has become one of the main challenges in the field of secure-aware medical data processing. Forgery of normal patients' medical data to present them as COVID-19 patients is an illegitimate action that has been carried out in different ways recently. Therefore, the integri...