Aside from wearable and implanted IoT medical devices such as blood pressure cuffs, glucose meters, defibrillators, and other sensors and devices, multi-dimensional body scanners such as positron emission tomography scanners, magnetic resonance imaging scanners, digital mammography scanners and single photon emission tomography scanners are also employed in today’s patient monitoring systems as a part of digital health initiative. As is generally known, health care sectors and organisations have adopted this vital step, and this will continue as long as medhackers do not interfere with patients’ multi-dimensional scanned data for disruptive objectives. The transmission of multi-dimensional scanned data between patients and health care providers is mainly done by wire or wireless media or via intranet, internet and dedicated channels. Medical data could be intercepted and manipulated by medhackers for vengeance and even cruel self-gratification. As a result, the IoT-enabled healthcare system is not immune to cyber-attack. A number of people have worked to solve this problem in terms of firewalls and improving communication security in order to assure safe and secure 2D and 3D medical data transactions in terms of firewall, enhancement of security in communication protocols. There hasn’t been much effort put into enhancing the security through the use of robust multi-dimensional data encryption and possibly data compression techniques. This paper proposes dependable algorithms for multi-dimensional data encoding and compression in order to have massive security in health care systems that integrate IoT sensors and devices in this context.