A lightweight replay attack detection framework for battery depended IoT devices designed for healthcare

Internet of things can be summarized as all physical objects connected to the Internet and being able to identify themselves to other digital devices, with the intent of facilitating communication that can transform the way we operate. Data integrity in healthcare is of utmost importance. A compromised transmitted or received signal can pose serious health hazards to patients. With the growing number of devices connected to the Internet, serious security concerns have been raised in relation to lack of appropriate security mechanisms used in Internet of Things devices. While security considerations are not recent in the arena of Information Technology, many existing frameworks developed for Internet of Things (IoT)healthcare present new and unique security challenges. In order to address these challenges and ensure a maximum level of security in IoT products and services, a lightweight and reliable framework has been developed which uses a combination of universally unique identifier, timestamp and a self-learning battery depletion monitor to detect and mitigate replay attacks on battery dependent IoT devices. A prototype application has been developed to successfully test the framework.