Developing a comprehensive information security framework for mHealth: a detailed analysis

It has been clearly shown that mHealth solutions, which is the use of mobile devices and other wireless technology to provide healthcare services, deliver more patient-focused healthcare, and improve the overall efficiency of healthcare systems. In addition, these solutions can potentially reduce the cost of providing healthcare in the context of the increasing demands of the aging populations in advanced economies. These solutions can also play an important part in intelligent environments, facilitating real-time data collection and input to enable various functionalities. However, there are several challenges regarding the development of mHealth solutions: the most important of these being privacy and data security. Furthermore, the use of cloud computing is becoming an option for the healthcare sector to store healthcare data; but storing data in the cloud raises serious concerns. This paper investigates how data are managed both on mHealth devices as well as in the cloud. Firstly, a detailed analysis of the entire mHealth domain is undertaken to determine domain-specific features and a taxonomy for mHealth, from which a set of security requirements are identified in order to develop a new information security framework. It then examines individual information security frameworks for mHealth devices and the cloud, noting similarities and differences. Furthermore, key mechanisms to implement the new framework are discussed and the new framework is then presented. Finally, the paper presents how the new framework could be implemented in order to develop an Advanced Digital Medical Platform

A multivariant secure framework for smart mobile health application

This is an accepted manuscript of an article published by Wiley in Transactions on Emerging Telecommunications Technologies, available online: https://doi.org/10.1002/ett.3684 The accepted version of the publication may differ from the final published version.Wireless sensor network enables remote connectivity of technological devices such as smart mobile with the internet. Due to its low cost as well as easy availability of data sharing and accessing devices, the Internet of Things (IoT) has grown exponentially during the past few years. The availability of these devices plays a remarkable role in the new era of mHealth. In mHealth, the sensors generate enormous amounts of data and the context-aware computing has proven to collect and manage the data. The context aware computing is a new domain to be aware of context of involved devices. The context-aware computing is playing a very significant part in the development of smart mobile health applications to monitor the health of patients more efficiently. Security is one of the key challenges in IoT-based mHealth application development. The wireless nature of IoT devices motivates attackers to attack on application; these vulnerable attacks can be denial of service attack, sinkhole attack, and select forwarding attack. These attacks lead intruders to disrupt the application's functionality, data packet drops to malicious end and changes the route of data and forwards the data packet to other location. There is a need to timely detect and prevent these threats in mobile health applications. Existing work includes many security frameworks to secure the mobile health applications but all have some drawbacks. This paper presents existing frameworks, the impact of threats on applications, on information, and different security levels. From this line of research, we propose a security framework with two algorithms, ie, (i) patient priority autonomous call and (ii) location distance based switch, for mobile health applications and make a comparative analysis of the proposed framework with the existing ones.Published onlin

Towards agent-based GRID-enabled and sensor-driven fire dynamics simulation harnessed over Bluetooth and Wi-Fi devices

The present paper is motivated by the need to develop technological infrastructure for informed and reliable decision support in various crisis and disaster management situations. It describes our prototype data-driven fire hazard simulator capable of predicting fire propagation dynamics that allows the user to take decisions based on reliable micro-future predictions of fire propagation based on potential personnel actions. Several heterogeneous technologies are integrated to achieve this goal. The GRID is utilized for running legacy codes enabling fire-propagation prediction. Sensor networks are used to enable simulation steering and correction. Base-stations enable data and communications coordination. Handheld or other wearable devices are terminal and initial points of interaction of the first responders with the rest of the system. Agent middleware is utilized to coordinate all heterogeneous software present. A demonstration of the first incarnation of this infrastructure is implemented over Bluetooth and WiFi enabled communications between the handheld devices and the base-stations involved. Copyright © 2005 by ASME

A multi-broker platform for the internet of things

The emerging paradigm of the Internet of Things with millions of devices dynamically interconnected to share data brings in new requirements for applications and infrastructures. New challenges raise in terms of connectivity, resource discovery and support for multidomain distributed applications. Furthermore, the connection parameters of involved devices may dynamically change over time and must be properly discovered. This paper proposes a multi broker platform (MBP) built on top of an existing interoperability platform, Smart-M3. MBP enables the original platform to manage multi-domain scenarios. Furthermore it provides a semantic mechanism for context-broker discovery and a virtualization interface to reach remote nodes