Design of Lightweight Authentication Protocol for Fog enabled Internet of Things- A Centralized Authentication Framework

Internet is a large network of networks that spans the entire globe. Internet is playing indispensable role in our daily lives. The physical things are connected to internet with the help of digital identity. With recent advancement of information and communication technologies IoT became vital part of human life. However, IoT is not having standardized architecture. Nowadays IoT is integrated with fog computing which extends platform of cloud computing by providing computing resources on edges of computer network. Fog computing is motivated by IOT and It is decentralized solution for IoT. In addition, Fog computing has supported features like geographic distribution, low latency, location awareness, operate on premise, installed on heterogeneous hardware. IoT with cloud computing does not have such features. Therefore, in this paper, at first we discuss about the distributed fog computing architecture. Subsequently, we address the problem of authentication and design a new authentication framework for fog enabled IOT environment. It is stated that the proposed authentication framework will be useful in many IoT applications such as healthcare system, transportation system, smart cities, home energy management etc

Medical data processing and analysis for remote health and activities monitoring

Recent developments in sensor technology, wearable computing, Internet of Things (IoT), and wireless communication have given rise to research in ubiquitous healthcare and remote monitoring of human\u2019s health and activities. Health monitoring systems involve processing and analysis of data retrieved from smartphones, smart watches, smart bracelets, as well as various sensors and wearable devices. Such systems enable continuous monitoring of patients psychological and health conditions by sensing and transmitting measurements such as heart rate, electrocardiogram, body temperature, respiratory rate, chest sounds, or blood pressure. Pervasive healthcare, as a relevant application domain in this context, aims at revolutionizing the delivery of medical services through a medical assistive environment and facilitates the independent living of patients. In this chapter, we discuss (1) data collection, fusion, ownership and privacy issues; (2) models, technologies and solutions for medical data processing and analysis; (3) big medical data analytics for remote health monitoring; (4) research challenges and opportunities in medical data analytics; (5) examples of case studies and practical solutions