The proliferation of physical objects connecting to the Internet leads to a novel paradigm called "Internet of Things (IoT)." The objects are equipped with microprocessors and transceivers for data acquisition and sensing the environment around them respectively. IoT is driven by distributed nature with pervasive presence. In such an environment, security and privacy are the major barriers and addressing these issues is vital for the penetration of IoT-based Medical devices. Traditional security solutions will not suffice to the needs of IoT-based resource constraint devices and pose potential limitations and patient safety issues. The paper proposes a novel approach for trust management framework called HEXAGON model, which represents the human notion of trust in the computational algorithm with six key factors Peer Recommendation, Operational Risk, Operational Cost, Reputation, Privacy, and Role and Identity management. K EYWORDS Trust, Human-notion of trust, mobile ad hoc network, Internet of Things (IoT), IoT-based medical deviceand applications.

No abstract

With the rapid advancements in the mobile, Internet and wireless technologies, the computing environment is seamlessly getting integrated into the physical world and being connected to the Internet leading to Internet of Things (IoT). In this environment, heterogeneous devices can communicate with one another, leading to innovative applications in healthcare. Malware in IoT environment possesses a great challenge due to interconnected and interoperated systems. Traditional signature based anti-malware solutions will not suffice to healthcare based IoT devices. The paper presents a novel approach of using whitelisting in IoT-based healthcare medical devices and illustrate the performance improvements over traditional solutions. General TermsSecurity, Internet of Things (IoT)