Optimized Blockchain Model for Internet of Things based Healthcare Applications

There continues to be a recent push to taking the cryptocurrency based ledger system known as Blockchain and applying its techniques to non-financial applications. One of the main areas for application remains Internet of Things (IoT) as we see many areas of improvement as we move into an age of smart cities. In this paper, we examine an initial look at applying the key aspects of Blockchain to a health application network where patients health data can be used to create alerts important to authenticated healthcare providers in a secure and private manner. This paper also presents the benefits and also practical obstacles of the blockchain-based security approaches in IoT.Comment: 5 pages, 5 figures. arXiv admin note: text overlap with arXiv:1806.00555 by other author

Enhancing Confidentiality and Privacy Preservation in e-Health to Enhanced Security

Electronic health (e-health) system use is growing, which has improved healthcare services significantly but has created questions about the privacy and security of sensitive medical data. This research suggests a novel strategy to overcome these difficulties and strengthen the security of e-health systems while maintaining the privacy and confidentiality of patient data by utilising machine learning techniques. The security layers of e-health systems are strengthened by the comprehensive framework we propose in this paper, which incorporates cutting-edge machine learning algorithms. The suggested framework includes data encryption, access control, and anomaly detection as its three main elements. First, to prevent unauthorised access during transmission and storage, patient data is secured using cutting-edge encryption technologies. Second, to make sure that only authorised staff can access sensitive medical records, access control mechanisms are strengthened using machine learning models that examine user behaviour patterns. This research's inclusion of machine learning-based anomaly detection is its most inventive feature. The technology may identify variations from typical data access and usage patterns, thereby quickly spotting potential security breaches or unauthorised activity, by training models on past e-health data. This proactive strategy improves the system's capacity to successfully address new threats. Extensive experiments were carried out employing a broad dataset made up of real-world e-health scenarios to verify the efficacy of the suggested approach. The findings showed a marked improvement in the protection of confidentiality and privacy, along with a considerable decline in security breaches and unauthorised access events

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

Critical issues in Leveraging Blockchain in Healthcare Sector

Blockchain innovation has brought various benefits to the healthcare sector. Utilizing blockchains in clinical contexts will reduce handling time since when a patient signs up for a review, the complete collected data will be accessible at once because of accessibility on the distributed ledger. Also, specialists will not need to stress over the patients giving them a legit clinical history, because of their capacity to progressively see the correct, credible, and quality source-recorded information. It eliminates any likely clinical history mistakes. Similarly, the patients will not need to stress over having a second assessment from another specialist, because of the straightforwardness of the information. Having patient records on a blockchain organization will prompt individuals to know and associate with various others, across the globe, with similar ailments as they have, which is not only valuable for their well-being, but also make the patients feel acknowledged, upheld, and have reinforced determination to battle the ailment. Patients will have total independence regarding their information, and they will choose who to impart the information to. In this paper, we present all the challenges and critical issues associated with implementing blockchains in the healthcare sector

The Use of Blockchain Technology in the Health Care Sector:Systematic Review

BACKGROUND: Blockchain technology is a part of Industry 4.0’s new Internet of Things applications: decentralized systems, distributed ledgers, and immutable and cryptographically secure technology. This technology entails a series of transaction lists with identical copies shared and retained by different groups or parties. One field where blockchain technology has tremendous potential is health care, due to the more patient-centric approach to the health care system as well as blockchain’s ability to connect disparate systems and increase the accuracy of electronic health records. OBJECTIVE: The aim of this study was to systematically review studies on the use of blockchain technology in health care and to analyze the characteristics of the studies that have implemented blockchain technology. METHODS: This study used a systematic review methodology to find literature related to the implementation aspect of blockchain technology in health care. Relevant papers were searched for using PubMed, SpringerLink, IEEE Xplore, Embase, Scopus, and EBSCOhost. A quality assessment of literature was performed on the 22 selected papers by assessing their trustworthiness and relevance. RESULTS: After full screening, 22 papers were included. A table of evidence was constructed, and the results of the selected papers were interpreted. The results of scoring for measuring the quality of the publications were obtained and interpreted. Out of 22 papers, a total of 3 (14%) high-quality papers, 9 (41%) moderate-quality papers, and 10 (45%) low-quality papers were identified. CONCLUSIONS: Blockchain technology was found to be useful in real health care environments, including for the management of electronic medical records, biomedical research and education, remote patient monitoring, pharmaceutical supply chains, health insurance claims, health data analytics, and other potential areas. The main reasons for the implementation of blockchain technology in the health care sector were identified as data integrity, access control, data logging, data versioning, and nonrepudiation. The findings could help the scientific community to understand the implementation aspect of blockchain technology. The results from this study help in recognizing the accessibility and use of blockchain technology in the health care sector

Blockchain Oracles

Plokiahelatehnoloogia on osutunud paljude tööstusharude potentsiaalseks lammutajaks ning on saanud eraldiseisvate üksuste jaoks turvalise ja detsentraliseeritud toimimise võimaldajaks. Sellest hoolimata ei ole plokiahelatehnoloogia iseenesest väliste andmeallikatega otseselt seotud. Vajalikke väliseid andmeid vahendatakse oraaklite abil. Selle magistritöö eesmärk on uurida seoseid plokiahela võrkude ja oraaklite vahel ning töötada välja raamistik, mis aitab plokiahela arendajaid ja otsuste langetajaid nende plokiahela projektides millestki juhinduda. Mõnedes olemasolevates oraakliprojektides on kirjeldatud sarnaseid püüdluseid, kuid seni pole nende autorid süstemaatiliste ülevaadeteni jõudnud. Lõputöös esitatud raamistik on välja töötatud olemasolevate oraaklitega seotud plokiahela projektide süstemaatilise kirjanduse ülevaate põhjal. See hõlmab selliseid komponente nagu oraaklite poolt kogutud informatsiooni tüübid, plokiahelavõrgud, millega nad suhtlevad, ning ka oraaklite ja andmeallika vahelise suhtluse krüptimine. Lisaks mängib plokiahela oraakli projektides olulist rolli ka oraaklite otsuste tegemine, mis kajastab teabe edastamist oraaklile, nende andmete kontrollimist ja meetodeid, kuidas oraakleid integreeritakse plokiahela võrkudega. Läbivaatamise tulemused näitavad, et plokiahela oraaklid on keerulised lahendused, mis hõlmavad paljusid komponente ja aspekte. Need võivad olla immateriaalsed või materiaalsed ning edastada andmeid vastavalt veebist või anduriseadmetest. Oraakleid saab kasutada igat tüüpi plokiahela võrkudes ja integreerida erinevates formaatides, sealhulgas nutikates lepinguliidestes, või otse teiste plokiahela-sõlmedega. Neid saab otsustusprotsessides tsentraliseerida või detsentraliseerida ja nad suudavad kasutada andmete õigsuse üle otsustamiseks mitmesuguseid olemasolevaid nõuandemehhanisme või usaldada lihtsalt välist andmepakkujat. Need uurimise tulemused aitavad plokiahela arendajatel demüstifitseerida oraaklite potentsiaalset kasutamist või rakendamist oma plokiahela projektides ning aitavad ületada lõhet plokiahela virtuaalse maailma ja väliste keskkondade vahel.Blockchain technology has emerged as a potential disruptor of multiple industries and became an enabler for separate entities to trans-act in a secure and decentralized manner. Nevertheless, the blockchain technology in itself does not directly interact with the external data sources. External data, that is needed, is transferred by means of oracles. The research goal of this thesis is to explore the relationship between blockchain networks and oracles and develop a framework to help guide blockchain developers and decision makers in their blockchain projects. Few of the existing oracle projects have described similar efforts in their papers, but no systematic review has been made by authors. The framework, presented in the thesis, is developed based on Systematic Literature Review of existing blockchain projects involving oracles. It includes components such as type of information oracles collect, blockchain networks with which they interact as well as encryption of communication between the oracles and the data source. Additionally, oracle decision making, which captures how the information is passed to the oracle, along with the verification of that data and methods of integration of oracles with blockchain networks, play an important role in blockchain oracle projects. The results of the review demonstrate that blockchain oracles are complex solutions involving multiple components and aspects. They can be intangible or tangible and transport data from web or sensor devices respectively. Oracles can be used in all types of blockchain networks and integrated in different formats including custom smart contract interfaces or directly with blockchain nodes. They can be centralized or decentralized in terms of decision making and utilize various existing consensus mechanisms to decide on correctness of the data or simply trust the external data provider. These findings will help the blockchain developers demystify the potential usage or implementation of oracles in their blockchain projects and help bridge the gap between the virtual world of blockchain and the external environments