Secure Multiparty Computation and Trusted Hardware: Examining Adoption Challenges and Opportunities

Choi, Joseph I.; Butler, Kevin

doi:10.1155/2019/1368905

Cited by 23 publications

(26 citation statements)

References 147 publications

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“…Older users have to be better acquainted with how their data is being processed and how they can customize or redraw their consent at any given time. In this sense, we see techniques such as differential privacy (DP) [54], secure multiparty computation (SMPC) [55], and federated learning (FL) [56] being more and more adopted. We are planning to further explore this also in our currently running projects.…”

Section: Future Directionsmentioning

confidence: 99%

Reference Architectures, Platforms, and Pilots for European Smart and Healthy Living—Analysis and Comparison

et al. 2021

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Motivated by the aging trend, much effort is being invested into implementing ICT (Information and Communications Technology)-enabled systems to provide a better quality of life and support the independent living of older people. As a result, many systems, often labeled as eHealth or AAL (Ambient/Active Assisted Living), were developed over the years. In creating such systems, which very often serve various needs, different architectures have emerged. This work focuses on analyzing and comparing the work and architectures from seven (six of which are in progress) EU-funded healthcare projects, with a total budget of 126MEUR in which we participate. After establishing the theoretical foundation by defining core concepts, we give a brief background on architectures in eHealth and AAL. We elaborate on the chosen analysis method based on three established healthcare and AAL taxonomies we identified by performing a literature survey and the selected Reference Architecture Model (RAM). Since there is no standard way of describing architectures in the eHealth and AAL domain, we conducted the online survey during August and September 2020 and identified CREATE-IoT 3D RAM as the most appropriate option. We present a classification of selected projects based on established taxonomies and map projects’ architectures to CREATE-IoT 3D RAM, which we also propose as standard RAM for future digital healthcare and AAL projects. During our analysis, we identify the most common types of assistance: communication support, reminders, monitoring, and guidance to address health and communication issues. We conclude that proper ecosystems are critical for lowering entry barriers and facilitating sustainable solutions for smart and healthy living.

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Section: Future Directionsmentioning

confidence: 99%

Reference Architectures, Platforms, and Pilots for European Smart and Healthy Living—Analysis and Comparison

et al. 2021

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“…The working principle of the Nebula system depends on the secure multi-party computation (Choi & Butler, 2019). In the network, data buyer nodes order genomic and phenotypic data with Nebula tokens and analyze the data only on a secure compute node because shared data must be encrypted with the HME format.…”

Section: Genomic Data Sharingmentioning

confidence: 99%

Blockchain for genomics and healthcare: a literature review, current status, classification and open issues

Dedeturk

Soran

Bakır-Güngör

2021

PeerJ

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The tremendous boost in the next generation sequencing technologies and in the “omics” technologies resulted in the generation of hundreds of gigabytes of data per day. Nowadays, via integrating -omics data with other data types, such as imaging and electronic health record (EHR) data, panomics studies attempt to identify novel and potentially actionable biomarkers for personalized medicine applications. In this respect, for the accurate analysis of -omics data and EHR, there is a need to establish secure and robust pipelines that take the ethical aspects into consideration, regulate privacy and ownership issues, and data sharing. These days, blockchain technology has picked up significant attention in diverse fields, including genomics, since it offers a new solution for these problems from a different perspective. Blockchain is an immutable transaction ledger, which offers secure and distributed system without a central authority. Within the system, each transaction can be expressed with cryptographically signed blocks, and the verification of transactions is performed by the users of the network. In this review, firstly, we aim to highlight the challenges of EHR and genomic data sharing. Secondly, we attempt to answer “Why” or “Why not” the blockchain technology is suitable for genomics and healthcare applications in detail. Thirdly, we elucidate the general blockchain structure based on the Ethereum, which is a more suitable technology for the genomic data sharing platforms. Fourthly, we review current blockchain-based EHR and genomic data sharing platforms, evaluate the advantages and disadvantages of these applications, and classify these applications using different metrics. Finally, we conclude by discussing the open issues and introducing our suggestion on the topic. In summary, to facilitate the diagnosis, monitoring and therapy of diseases with the effective analysis of -omics data with other available data types, through this review, we put forward the possible implications of the blockchain technology to life sciences and healthcare.

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“…Further, consider the current pandemic in which a requirement of viewpoints used or generated in the computation, including even from certain "physical attacks" against the computing system. They can implement similar functionality as software-based homomorphic and mutiparty computation 2 approaches, but without the usability issues and with dramatically smaller performance penalties.…”

Section: Current Secure Computing Environmentsmentioning

confidence: 99%

Trustworthy scientific computing

Peisert

2021

Commun. ACM

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Secure Multiparty Computation and Trusted Hardware: Examining Adoption Challenges and Opportunities

Cited by 23 publications

References 147 publications

Reference Architectures, Platforms, and Pilots for European Smart and Healthy Living—Analysis and Comparison

Reference Architectures, Platforms, and Pilots for European Smart and Healthy Living—Analysis and Comparison

Blockchain for genomics and healthcare: a literature review, current status, classification and open issues

Trustworthy scientific computing

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