Blockchain leveraged decentralized IoT eHealth framework

Blockchain technologies recently emerging for eHealth, can facilitate a secure, decentral- ized and patient-driven, record management system. However, Blockchain technologies cannot accommodate the storage of data generated from IoT devices in remote patient management (RPM) settings as this application requires a fast consensus mechanism, care- ful management of keys and enhanced protocols for privacy. In this paper, we propose a Blockchain leveraged decentralized eHealth architecture which comprises three layers: (1) The Sensing layer –Body Area Sensor Networks include medical sensors typically on or in a patient body transmitting data to a smartphone. (2) The NEAR processing layer –Edge Networks consist of devices at one hop from data sensing IoT devices. (3) The FAR pro- cessing layer –Core Networks comprise Cloud or other high computing servers). A Patient Agent (PA) software replicated on the three layers processes medical data to ensure reli- able, secure and private communication. The PA executes a lightweight Blockchain consen- sus mechanism and utilizes a Blockchain leveraged task-offloading algorithm to ensure pa- tient’s privacy while outsourcing tasks. Performance analysis of the decentralized eHealth architecture has been conducted to demonstrate the feasibility of the system in the pro- cessing and storage of RPM data

A patient agent controlled customized blockchain based framework for internet of things

Although Blockchain implementations have emerged as revolutionary technologies for various industrial applications including cryptocurrencies, they have not been widely deployed to store data streaming from sensors to remote servers in architectures known as Internet of Things. New Blockchain for the Internet of Things models promise secure solutions for eHealth, smart cities, and other applications. These models pave the way for continuous monitoring of patient’s physiological signs with wearable sensors to augment traditional medical practice without recourse to storing data with a trusted authority. However, existing Blockchain algorithms cannot accommodate the huge volumes, security, and privacy requirements of health data. In this thesis, our first contribution is an End-to-End secure eHealth architecture that introduces an intelligent Patient Centric Agent. The Patient Centric Agent executing on dedicated hardware manages the storage and access of streams of sensors generated health data, into a customized Blockchain and other less secure repositories. As IoT devices cannot host Blockchain technology due to their limited memory, power, and computational resources, the Patient Centric Agent coordinates and communicates with a private customized Blockchain on behalf of the wearable devices. While the adoption of a Patient Centric Agent offers solutions for addressing continuous monitoring of patients’ health, dealing with storage, data privacy and network security issues, the architecture is vulnerable to Denial of Services(DoS) and single point of failure attacks. To address this issue, we advance a second contribution; a decentralised eHealth system in which the Patient Centric Agent is replicated at three levels: Sensing Layer, NEAR Processing Layer and FAR Processing Layer. The functionalities of the Patient Centric Agent are customized to manage the tasks of the three levels. Simulations confirm protection of the architecture against DoS attacks. Few patients require all their health data to be stored in Blockchain repositories but instead need to select an appropriate storage medium for each chunk of data by matching their personal needs and preferences with features of candidate storage mediums. Motivated by this context, we advance third contribution; a recommendation model for health data storage that can accommodate patient preferences and make storage decisions rapidly, in real-time, even with streamed data. The mapping between health data features and characteristics of each repository is learned using machine learning. The Blockchain’s capacity to make transactions and store records without central oversight enables its application for IoT networks outside health such as underwater IoT networks where the unattended nature of the nodes threatens their security and privacy. However, underwater IoT differs from ground IoT as acoustics signals are the communication media leading to high propagation delays, high error rates exacerbated by turbulent water currents. Our fourth contribution is a customized Blockchain leveraged framework with the model of Patient-Centric Agent renamed as Smart Agent for securely monitoring underwater IoT. Finally, the smart Agent has been investigated in developing an IoT smart home or cities monitoring framework. The key algorithms underpinning to each contribution have been implemented and analysed using simulators.Doctor of Philosoph

A Component-Based Approach for Securing Indoor Home Care Applications

eHealth systems have adopted recent advances on sensing technologies together with advances in information and communication technologies (ICT) in order to provide people-centered services that improve the quality of life of an increasingly elderly population. As these eHealth services are founded on the acquisition and processing of sensitive data (e.g., personal details, diagnosis, treatments and medical history), any security threat would damage the public's confidence in them. This paper proposes a solution for the design and runtime management of indoor eHealth applications with security requirements. The proposal allows applications definition customized to patient particularities, including the early detection of health deterioration and suitable reaction (events) as well as security needs. At runtime, security support is twofold. A secured component-based platform supervises applications execution and provides events management, whilst the security of the communications among application components is also guaranteed. Additionally, the proposed event management scheme adopts the fog computing paradigm to enable local event related data storage and processing, thus saving communication bandwidth when communicating with the cloud. As a proof of concept, this proposal has been validated through the monitoring of the health status in diabetic patients at a nursing home.This work was financed under project DPI2015-68602-R (MINECO/FEDER, UE), UPV/EHU under project PPG17/56 and GV/EJ under recognized research group IT914-16

Security in Pervasive Computing: Current Status and Open Issues

Million of wireless device users are ever on the move, becoming more dependent on their PDAs, smart phones, and other handheld devices. With the advancement of pervasive computing, new and unique capabilities are available to aid mobile societies. The wireless nature of these devices has fostered a new era of mobility. Thousands of pervasive devices are able to arbitrarily join and leave a network, creating a nomadic environment known as a pervasive ad hoc network. However, mobile devices have vulnerabilities, and some are proving to be challenging. Security in pervasive computing is the most critical challenge. Security is needed to ensure exact and accurate confidentiality, integrity, authentication, and access control, to name a few. Security for mobile devices, though still in its infancy, has drawn the attention of various researchers. As pervasive devices become incorporated in our day-to-day lives, security will increasingly becoming a common concern for all users - - though for most it will be an afterthought, like many other computing functions. The usability and expansion of pervasive computing applications depends greatly on the security and reliability provided by the applications. At this critical juncture, security research is growing. This paper examines the recent trends and forward thinking investigation in several fields of security, along with a brief history of previous accomplishments in the corresponding areas. Some open issues have been discussed for further investigation

Policy-Controlled Authenticated Access to LLN-Connected Healthcare Resources.

Ubiquitous devices comprising several resource-constrained nodes with sensors, actuators, and networking capabilities are becoming part of many solutions that seek to enhance user's environment smartness and quality of living, prominently including enhanced healthcare services. In such an environment, security issues are of primary concern as a potential resource misuse can severely impact user's privacy or even become life threatening. Access to these resources should be appropriately controlled to ensure that eHealth nodes are adequately protected and the services are available to authorized entities. The intrinsic resource limitations of these nodes, however, make satisfying these requirements a great challenge. This paper proposes and analyzes a service-oriented architecture that provides a policy-based, unified, cross-platform, and flexible access control mechanism, allowing authorized entities to consume services provided by eHealth nodes while protecting their valuable resources. The scheme is XACML driven, although modifications to the related standardized architecture are proposed to satisfy the requirements imposed by nodes that comprise low-power and lossy networks (LLNs). A proof-of-concept implementation is presented, along with the associated performance evaluation, confirming the feasibility of the proposed approach

Making the Internet of Things More Reliable Thanks to Dynamic Access Control

While the Internet-of-Things (IoT) infrastructure is rapidly growing, the performance and correctness of such systems becomes more and more critical. Together with flexibility and interoperability, trustworthiness related aspects, including security, privacy, resilience and robustness, are challenging goals faced by the next generation of IoT systems. In this chapter, we propose approaches for IoT tailored access control mechanisms that ensure data and services protection against unauthorized use, with the aim of improving IoT system trustworthiness and lowering the risks of massive-scale IoT-driven cyber-attacks or incidents.acceptedVersio

A Generic Architecture for Integrating Health Monitoring and Advanced Care Provisioning

This paper presents a novel approach for advanced person- alized care and health services. It consists of four tiers and presents a high level of openness, privacy and manageability compared to existing systems. Moreover, the architecture is driven by realistic underlying business opportunities and is validated through the design of multiple scenarios.status: publishe

An architecture for using commodity devices and smart phones in health systems

The potential of patient-centred care and a connected eHealth ecosystem can be developed through socially responsible innovative architectures. The purpose of this paper is to define key innovation needs. This is achieved through conceptual development of an architecture for common information spaces with emergent end-user applications by supporting intelligent processing of measurements, data and services at the Internet of Things (IoT) integration level. The scope is conceptual definition, and results include descriptions of social, legal and ethical requirements, an architecture, services and connectivity infrastructures for consumer-oriented healthcare systems linking co-existing healthcare systems and consumer devices. We conclude with recommendations based on an analysis of research challenges related to how to process the data securely and anonymously and how to interconnect participants and services with different standards and interaction protocols, and devices with heterogeneous hardware and software configurations

The Design of a System for Online Psychosocial Care: Balancing Privacy and Accountability in Sensitive Online Healthcare Environments

The design of sensitive online healthcare systems must balance the requirements of privacy and accountability for the good of individuals, organizations, and society. Via a design science research approach, we build and evaluate a sophisticated software system for the online provision of psychosocial healthcare to distributed and vulnerable populations. Multidisciplinary research capabilities are embedded within the system to investigate the effectiveness of online treatment protocols. Throughout the development cycles of the system, we build an emergent design theory of scrutiny that applies a multi-layer protocol to support governance of privacy and accountability in sensitive online applications. The design goal is to balance stakeholder privacy protections with the need to provide for accountable interventions in critical and well-defined care situations. The research implications for the development and governance of online applications in numerous privacy-sensitive application areas are explore

An Integrated Framework for the Methodological Assurance of Security and Privacy in the Development and Operation of MultiCloud Applications

x, 169 p.This Thesis studies research questions about how to design multiCloud applications taking into account security and privacy requirements to protect the system from potential risks and about how to decide which security and privacy protections to include in the system. In addition, solutions are needed to overcome the difficulties in assuring security and privacy properties defined at design time still hold all along the system life-cycle, from development to operation.In this Thesis an innovative DevOps integrated methodology and framework are presented, which help to rationalise and systematise security and privacy analyses in multiCloud to enable an informed decision-process for risk-cost balanced selection of the protections of the system components and the protections to request from Cloud Service Providers used. The focus of the work is on the Development phase of the analysis and creation of multiCloud applications.The main contributions of this Thesis for multiCloud applications are four: i) The integrated DevOps methodology for security and privacy assurance; and its integrating parts: ii) a security and privacy requirements modelling language, iii) a continuous risk assessment methodology and its complementary risk-based optimisation of defences, and iv) a Security and Privacy Service Level AgreementComposition method.The integrated DevOps methodology and its integrating Development methods have been validated in the case study of a real multiCloud application in the eHealth domain. The validation confirmed the feasibility and benefits of the solution with regards to the rationalisation and systematisation of security and privacy assurance in multiCloud systems