Background Privacy has always been a concern, especially in the health domain. The proliferation of mobile health (mHealth) apps has led to a large amount of sensitive data being generated. Some authors have performed privacy assessments of mHealth apps. They have evaluated diverse privacy components; however, different authors have used different criteria for their assessments. Objective This scoping review aims to understand how privacy is assessed for mHealth apps, focusing on the components, scales, criteria, and scoring methods used. A simple taxonomy to categorize the privacy assessments of mHealth apps based on component evaluation is also proposed. Methods We followed the methodology defined by Arksey and O’Malley to conduct a scoping review. Included studies were categorized based on the privacy component, which was assessed using the proposed taxonomy. Results The database searches retrieved a total of 710 citations—24 of them met the defined selection criteria, and data were extracted from them. Even though the inclusion criteria considered articles published since 2009, all the studies that were ultimately included were published from 2014 onward. Although 12 papers out of 24 (50%) analyzed only privacy, 8 (33%) analyzed both privacy and security. Moreover, 4 papers (17%) analyzed full apps, with privacy being just part of the assessment. The evaluation criteria used by authors were heterogeneous and were based on their experience, the literature, and/or existing legal frameworks. Regarding the set of items used for the assessments, each article defined a different one. Items included app permissions, analysis of the destination, analysis of the content of communications, study of the privacy policy, use of remote storage, and existence of a password to access the app, among many others. Most of the included studies provided a scoring method that enables the comparison of privacy among apps. Conclusions The privacy assessment of mHealth apps is a complex task, as the criteria used by different authors for their evaluations are very heterogeneous. Although some studies about privacy assessment have been conducted, a very large set of items to evaluate privacy has been used up until now. In-app information and privacy policies are primarily utilized by the scientific community to extract privacy information from mHealth apps. The creation of a scale based on more objective criteria is a desirable step forward for privacy assessment in the future.

Background Cancer patients are increasingly using mobile health (mHealth) apps to take control of their health. Many studies have explored their efficiency, content, usability, and adherence; however, these apps have created a new set of privacy challenges, as they store personal and sensitive data. Objective The purpose of this study was to refine and evaluate a scale based on the General Data Protection Regulation and assess the fairness of privacy policies of mHealth apps. Methods Based on the experience gained from our previous work, we redefined some of the items and scores of our privacy scale. Using the new version of our scale, we conducted a case study in which we analyzed the privacy policies of cancer Android apps. A systematic search of cancer mobile apps was performed in the Spanish version of the Google Play website. Results The redefinition of certain items reduced discrepancies between reviewers. Thus, use of the scale was made easier, not only for the reviewers but also for any other potential users of our scale. Assessment of the privacy policies revealed that 29% (9/31) of the apps included in the study did not have a privacy policy, 32% (10/31) had a score over 50 out of a maximum of 100 points, and 39% (12/31) scored fewer than 50 points. Conclusions In this paper, we present a scale for the assessment of mHealth apps that is an improved version of our previous scale with adjusted scores. The results showed a lack of fairness in the mHealth app privacy policies that we examined, and the scale provides developers with a tool to evaluate their privacy policies.

Abstract-The telecommunication networks of telecontrol systems in electric utilities have undergone an innovation process. This has removed many of their technical restrictions and made it possible to consider carrying out telecontrol tasks with general standard protocols instead of the specific ones that are used currently. These are defined in the standards 60870-5, 60870-6, and 61850 from the International Electrotechnical Commission, among others. This paper is about the implementation, using the services of general standard protocols, of the telecontrol application functions defined by the standard IEC 60870-5-104. The general protocols used to carry out telecontrol tasks are those used in the Internet: the telecommunication network-management protocol SNMPv3 (simple network management protocol version 3), the clock synchronization protocol network time protocol and Secure SHell. With this new implementation, we have achieved, among others, two important aims: 1) to improve performance and, above all, 2) to solve the serious security problems present in the telecontrol protocols currently being used. These problems were presented by IEEE in an article published in the website of the IEEE Standards Association. In this paper, the use of general standard protocols to perform the telecontrol of electrical networks is justified. The development of this paper-its achievements and conclusions and the tools used-is detailed.

BACKGROUND Cancer patients are increasingly using mobile health (mHealth) apps to take control of their health. Many studies have explored their efficiency, content, usability, and adherence; however, these apps have created a new set of privacy challenges, as they store personal and sensitive data. OBJECTIVE The purpose of this study was to refine and evaluate a scale based on the General Data Protection Regulation and assess the fairness of privacy policies of mHealth apps. METHODS Based on the experience gained from our previous work, we redefined some of the items and scores of our privacy scale. Using the new version of our scale, we conducted a case study in which we analyzed the privacy policies of cancer Android apps. A systematic search of cancer mobile apps was performed in the Spanish version of the Google Play website. RESULTS The redefinition of certain items reduced discrepancies between reviewers. Thus, use of the scale was made easier, not only for the reviewers but also for any other potential users of our scale. Assessment of the privacy policies revealed that 29% (9/31) of the apps included in the study did not have a privacy policy, 32% (10/31) had a score over 50 out of a maximum of 100 points, and 39% (12/31) scored fewer than 50 points. CONCLUSIONS In this paper, we present a scale for the assessment of mHealth apps that is an improved version of our previous scale with adjusted scores. The results showed a lack of fairness in the mHealth app privacy policies that we examined, and the scale provides developers with a tool to evaluate their privacy policies.

Abstract-This paper presents some works made in the development of communications software for an embedded open core system. By using a Linux-based processor implemented on a FPGA, we are developing the appropriate software in order to implement a remote unit to be used in a telecontrol network. We present an analysis of the physical devices needed and a performance report of them. After that, we analyze the requirements of the telecontrol network and the possibility of reusing already implemented protocols in Linux instead of using standard telecontrol protocols.

Privacy is a major concern for breast cancer patients. When patients use mobile health applications (mHealth apps), many sensitive data are handled by the application developers. General Data Protection Regulation (GDPR) arises as a solution to privacy issues. In this paper, we analyze the privacy policy of a sample of mHealth apps for breast cancer patients, developing a scale to check if GDPR is complied. Despite privacy is a key factor in the adoption of the use of mHealth apps, the low level of compliance with the GDPR of the analyzed applications was quite surprising. Thus, application developers must be concerned about this matter.

Abstract-This paper presents an open source implementation for a data-link layer protocol specified in IEC 60870, protocol specification for telecontrol networks. It has been tested over LEON an embedded system with a Linux based operating system. Protocol engineering methods have been used in order to implement the protocol. The standard is in natural language so a formal language is needed to describe its behavior. A prototype has also been created to simulate the protocol behavior.The protocol has been tested on a real environment, using PCs and LEON as primary and secondary stations, and different physical layers, serial cable, radio frequency and GSM.

This paper presents the development and test of the standard IEC-60870-5 application layer protocol for a Remote Terminal Unit (RTU) based on open hardware and software. The RTU hardware is an embedded system, a SoC-type design using FPGA that has been programmed with the open core LEO with Linux operating system running over it, so both the hardware and IOS are open source. For prototyping the GR-XC3S-1500 board has been used. There is no open source code available for the IEC standard protocols, so application layer protocol has to be implemented. All the software design has been made in a PC platform using standard development tools. The source code generated for the protocol has been compiled with the standard Linux gcc compiler in LEO . Several tests have been made to prove the right behavior of the protocol as well as its performance over different transmission mediums.