Pervasive eHealth services a security and privacy risk awareness survey

The human factor is often recognised as a major aspect of cyber-security research. Risk and situational perception are identified as key factors in the decision making process, often playing a lead role in the adoption of security mechanisms. However, risk awareness and perception have been poorly investigated in the field of eHealth wearables. Whilst end-users often have limited understanding of privacy and security of wearables, assessing the perceived risks and consequences will help shape the usability of future security mechanisms. This paper present a survey of the the risks and situational awareness in eHealth services. An analysis of the lack of security and privacy measures in connected health devices is described with recommendations to circumvent critical situations

When eHealth meets the internet of things: pervasive security and privacy challenges

eHealth mobile technologies are becoming increasingly prevalent in both the personal and medical world, assisting healthcare professionals to monitor the progress and current condition of patients. These devices often gather, transmit and analyse personal data. Healthcare data has rigid requirements for security, confidentiality, and availability, whilst access traceability and control, and long-term preservation are also highly desirable, particularly when exposed to cloud computing environments. This article explores some of the security and privacy challenges eHealth devices currently face. Legislative implications of data breaches are considered, as well as service provider accountability. The work also provides numerous security and privacy recommendations, in order to improve future implementations

Employment law expert system

This paper reviews the development and application architecture of an expert system to assist the Mauritian population with queries they may have about labor or employment law. The expert system makes use of Machine Learning, Speech Recognition/Synthesis and Natural Language Processing techniques to converse with users through a web interface. The expert system also takes advantage of a large knowledge base, that allows the system to teach itself employment law principles. The knowledge base is created from "Understanding Employment Law and Remuneration Orders in Mauritius", written by Ved Prakash Torul [1], which is a simplified version of the Employment Relations Act and the Employment Rights Act. The book explains employment law in common language, to help the public understand their constitutional rights. The expert system allows users to communicate and express their employment issues, so that they are aware of their next course of action, either they are an employer, employee, or a union. The paper also reviews the evaluation period, which consisted of a preliminary testing period. Through the evaluation, it was concluded that the expert system was able to respond to individual responses with a Precision of 66% and Recall of 85%. While the Expert System is able to converse with users on certain topics on Employment Law, further evaluation would need to be conducted. Additionally, the knowledge base will need to be updated over time

Critical patient eHealth monitoring system using wearable sensors

Patient monitoring has advanced over the years, from bed side monitors in the hospital, to wearable devices that can monitor patients and communicate their data remotely to medical servers over wireless networks. It is a process that involves monitoring major vital signs of a patient, to check if their health is normal or deteriorating within a period of time. In a remote situation, vital signs information, can help health care providers to easily send help to patients when their health is at immediate risk. The problem with this kind of remote monitoring system is that most times the patients must be within a specified location to either monitor their health or receive emergency help. This paper presents a potential solution in the form of a global vital sign monitoring system and consists of two components to demonstrate the functionality; a wearable wireless monitoring device that records the temperature and pulse rate of the patient wearing it and a web application, which allows the patient and the emergency response unit to interact together over cellular networ