Dr. Liljana Babinkostova and Dr. Marion Scheepers
We live in a world of cyber-enabled devices that enhance many aspects of life, including the treatment of diabetes. Type I Diabetes is a chronic autoimmune disorder characterized by destruction of pancreatic cells and subsequent deficiency of insulin - a crucial hormone in regulating blood glucose levels. The development of an Artificial Pancreas System is automating the maintenance of this disease by integrating wireless devices to continuously balance blood glucose levels without patient interaction. An integral part of this system is the Continuous Glucose Monitor (CGM) which wirelessly transmits blood glucose measurements every 5 minutes. CGMs and other Implantable Medical Devices (IMD) are shrinking in physical size which limits their memory, power, and processing capacity making them unsuitable for modern encryption. The lack of encryption capability in lightweight devices results in the unsecure transmission of data between their components. The National Institute of Standards and Technology (NIST) has called for encryption algorithms to be considered for the lightweight cryptographic standard. Our work examines the suitability of ForkAE, a NIST lightweight candidate, for use in a CGM by measuring the resource consumption of computing ciphertexts.