A RETIREMENT INCOME SIMULATION MODEL FOR FARM OPERATORS

Farm Management,

Enhancing digital forensics readiness in big data wireless medical networks: A secure decentralised framework

Wireless medical networks are pivotal for chronic disease management, yet the sensitive Big Data they generate presents administration challenges and cyber vulnerability. This Big Data is valuable within both healthcare and legal contexts, serving as a resource for investigating medical malpractice, civil cases, criminal activities, and network-related incidents. However, the rapid evolution of network technologies and data creates complexities in digital forensics investigations and audits. To address these issues, this paper proposes a secure decentralised framework aimed at bolstering digital forensics readiness (DFR) in Big Data wireless medical networks by identifying security threats, complexities, and gaps in current research efforts. By improving the network's resilience to cyber threats and aiding in medical malpractice investigations, this framework significantly advances digital forensics, wireless networks, and healthcare. It enhances digital forensics readiness, incident response, and the management of medical malpractice incidents in Big Data wireless medical networks. A real-world scenario-based evaluation demonstrated the framework's effectiveness in improving forensic readiness and response capabilities, validating its practical applicability and impact. A comparison of the proposed framework with existing frameworks concluded that it is an advancement in framework design for DFR, especially in regard to Big Data processing, decentralised DFR storage and scalabilit

Digital forensics readiness in big data networks: a novel framework and incident response script for Linux-Hadoop environments

The surge in big data and analytics has catalysed the proliferation of cybercrime, largely driven by organisations’ intensified focus on gathering and processing personal data for profit while often overlooking security considerations. Hadoop and its derivatives are prominent platforms for managing big data; however, investigating security incidents within Hadoop environments poses intricate challenges due to scale, distribution, data diversity, replication, component complexity, and dynamicity. This paper proposes a big data digital forensics readiness framework and an incident response script for Linux–Hadoop environments, streamlining preliminary investigations. The framework offers a novel approach to digital forensics in the domains of big data and Hadoop environments. A prototype of the incident response script for Linux–Hadoop environments was developed and evaluated through comprehensive functionality and usability testing. The results demonstrated robust performance and efficacy

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

Exploring the need for a suitable privacy framework for mHealth when managing chronic diseases

The widespread rises in chronic illnesses (e.g., diabetes and high blood pressure) have resulted in the need to find more efficient ways of managing patients with these conditions. One such way is by the use of mobile health (mHealth) technologies that can gather real-time data from patients and monitor them from a distance, removing the need to be at a medical facility. These technologies can be an integral part of intelligent healthcare environments (e.g., smart homes to monitor and assist elderly patients) which are essential to reducing healthcare costs and improving efficiency. The use of mHealth, however, brings various privacy concerns and challenges. This paper reviews and examines the challenges of preserving user privacy in the context of using mHealth to manage chronic diseases. The paper first discusses mHealth, its importance in managing chronic diseases, and the associated privacy concerns. Second, the paper compares the existing privacy frameworks applicable to mHealth. Third, the key principles gathered from the frameworks are analysed in the context of their suitability for enabling adequate privacy when using mHealth for managing chronic diseases. Finally, the paper argues that a new privacy framework is needed for mHealth in the context of managing chronic diseases

A new privacy framework for the management of chronic diseases via mHealth in a post Covid-19 world

Aim New challenges are being faced by global healthcare systems such as an increase in the elderly population, budget cuts as well as the ongoing COVID-19 pandemic. As pressures mount on healthcare systems to provide treatment to patients, mHealth is seen as one of the possible solutions to addressing these challenges. Given the sensitivity of health data, the rapid development of the mHealth sector raises privacy concerns. The aims of this research were to investigate privacy threats/concerns in the context of mHealth and the management of chronic diseases and to propose a novel privacy framework to address these concerns. Subject and Method The study adopted a modified version of the engineering design process. After defining the problem, information was gathered through literature reviews, and analyses of existing regulatory (privacy) frameworks and past research on privacy threats/concerns. Requirements for a new framework were then specified leading to its development and comparison with existing frameworks. Results A novel future-proof privacy framework was developed and illustrated. Using existing regulatory frameworks for privacy and privacy threats/concerns from research studies, privacy principles and their resulting requirements were identified. Further, mechanisms and associated technologies needed to implement the privacy principles/requirements into a functional prototype were also identified. A comparison of the proposed framework with existing frameworks, should that it addressed privacy threats/concerns in a more comprehensive manner. Conclusion This research makes a valuable contribution to protecting privacy in mHealth. The novel framework developed is an improvement on existing frameworks. It is also future-proof since its foundations are built on regulatory frameworks and privacy threats/concerns existing at the time of its deployment/revision

Exploring a new security framework for future healthcare systems

The Internet of Things is driving impactful and significant changes in healthcare systems across the globe. The use of mobile and wireless technologies to support healthcare environments has enormous potential to transform healthcare. For example, healthcare data, which is considered to be very sensitive, must be securely accessed, processed and stored. However, digital healthcare IT platforms are increasingly coming under attack by malware such as Ransomware. In addition, there is now a need to integrate eHealth and mHealth mechanisms into national healthcare systems. New technologies, such as blockchain, are being used to address these issues. What is needed is a new framework which can use these technologies to secure healthcare. This paper proposes a new security framework that responds to these security concerns. The framework is then used to design an implementation framework with new mechanisms including Capabilities, Secure Remote Procedure Calls and a Service Management Framework

Securing future healthcare environments in a post-COVID-19 world: moving from frameworks to prototypes

The deployment of Internet of Things platforms as well as the use of mobile and wireless technologies to support healthcare environments have enormous potential to transform healthcare. This has also led to a desire to make eHealth and mHealth part of national healthcare systems. The COVID-19 pandemic has accelerated the requirement to do this in order to reduce the number of patients needing to attend hospitals and General Practitioner surgeries. This direction however has resulted in a renewed need to look at security of future healthcare platforms including information and data security as well as network and cyber-physical security. There have been security frameworks that were developed to address such issues. However, it is necessary to develop a security framework with a combination of security mechanisms that can be used to provide all the essential security requirements for healthcare systems. In addition, there is now a need to move from frameworks to prototypes which is the focus of this paper. Several security frameworks for eHealth and mHealth are first examined. This leads to a new reference model from which an implementation framework is developed using new mechanisms such as Capabilities, Secure Remote Procedure Calls and a Service Management Framework. The prototype is then evaluated against practical security requirements