Communication and information technologies have accelerated the implementation of electronic medical records, but at the same time, have put patient privacy, information security and health data at risk. An alternative to address the problem of security and privacy of medical data is the use of blockchain. Scalability has become one of the biggest challenges facing the development of blockchain-based electronic health records (EHRs). The purpose of this article is to implement and test a scalable blockchain-based EHR management system. For this reason, we present a scalable blockchain-based EHR management architecture. In this paper, we propose an EHR management model based on entities and user roles, adapt, and then implement with Hyperledger Fabric in a two-channel configuration. We develop a prototype in Fabric using a one-and two-channel configuration. We then designed and conducted an experiment to verify the performance of the proposed scheme in terms of scalability improvement. This scalable blockchain-based EHR management solution, such as the Hyperledger Fabric platform, offers a viable alternative to address scalability issues, as well as to protect patient’s privacy and the security of their medical data.

This paper presents a design of rectangular microstrip antenna patch applied a WBAN (Wireless Body Area Network). The antenna is designed over the operating frequency is 2.4 GHz using the substrate material as FR-4 which has the dielectric constant of 4.3. The designed antenna can be used for ISM (industrial, scientific and medical) band and UWB applications. The designed antenna has low profile, low cost, easy fabrication and good isolation. The antenna is designed by using CST simulation software and designed antenna provides return loss less then -10 dB. The proposed antenna is designed with the purpose of obtaining a low SAR models of the human body, considering both the electromagnetic effect and the shell model in human tissues.

Nowadays, Cognitive Radio Sensor Networks (CRSN) arise as an emergent technology to deal with the spectrum scarcity issue and the focus is on devising novel energy-efficient solutions. In static CRSN, where nodes have spatial fixed positions, several reported solutions are implemented via sensor selection strategies to reduce consumed energy during cooperative spectrum sensing. However, energy-efficient solutions for dynamic CRSN, where nodes are able to change their spatial positions due to their movement, are nearly reported despite today’s growing applications of mobile networks. This paper investigates a novel framework to optimally predict energy consumption in cooperative spectrum sensing tasks, considering node mobility patterns suitable to model dynamic CRSN. A solution based on the Kataoka criterion is presented, that allows to minimize the consumed energy. It accurately estimates -with a given probability-the spent energy on the network, then to derive an optimal energy-efficient solution. An algorithm of reduced-complexity is also implemented to determine the total number of active nodes improving the exhaustive search method. Proper performance of the proposed strategy is illustrated by extensive simulation results for pico-cells and femto-cells in dynamic scenarios.

This paper presents a design of a Triband microstrip antenna for 2.4 GHz, 3.5 GHz and 5.7 GHz applied a WBAN (Wireless Body Area Network). The proposed antenna with three substrates types consists of L-shaped slots have been determined based on the frequency bands. For the integration of these techniques three frequency bands consisting of the ISM band 2.4 GHz and 5.7 GHz, and 3.5 GHz band UWB respectively were considered. The proposed antenna is designed with the purpose of obtaining a low SAR models of the human body, considering both the electromagnetic effect and the shell model in human tissues.

In the last decades the Internet of things IoT has had a great development of health systems. With the incorporation of medicine 4.0, it has allowed the development of software and electronic devices, obtaining various systems applied to Healthcare IoT (H-IoT). Through the use of WBAN (Wireless Body Area Network) the communication systems between sensor nodes allow the measurement of physiological variables which are collected and processed. In order not to compromise the privacy of the data and the security, the use of new technologies that promote safe data, such as the blockchain, is proposed. In this article we present the main concepts and requirements needed to design a high security ubiquitous H-IoT in a WBAN-based EHR using Blockchain. The advantages of implementing a system of this nature in the short or medium term will allow the countries of the world to greatly alleviate the burden on public health institutions, reducing health costs and increasing people's quality of life.

Most modern vehicles are connected to the internet via cellular networks for navigation, assistance, etc. via their onboard computer, which can also provide onboard Wi-Fi and Bluetooth services. The main in-vehicle communication buses (CAN, LIN, FlexRay) converge at the vehicle’s onboard computer and offer no computer security features to protect the communication between nodes, thus being highly vulnerable to local and remote cyberattacks which target the onboard computer and/or the vehicle’s electronic control units through the aforementioned buses. To date, several computer security proposals for CAN and FlexRay buses have been published; a formal computer security proposal for the LIN bus communications has not been presented. So, we researched possible security mechanisms suitable for this bus’s particularities, tested those mechanisms in microcontroller and PSoC hardware, and developed a prototype LIN network using PSoC nodes programmed with computer security features. This work presents a novel combination of encryption and a hash-based message authentication code (HMAC) scheme with replay attack rejection for the LIN communications. The obtained results are promising and show the feasibility of the implementation of an LIN network with real-time computer security protection.