778 research outputs found
CryptoMaze: Atomic Off-Chain Payments in Payment Channel Network
Payment protocols developed to realize off-chain transactions in Payment
channel network (PCN) assumes the underlying routing algorithm transfers the
payment via a single path. However, a path may not have sufficient capacity to
route a transaction. It is inevitable to split the payment across multiple
paths. If we run independent instances of the protocol on each path, the
execution may fail in some of the paths, leading to partial transfer of funds.
A payer has to reattempt the entire process for the residual amount. We propose
a secure and privacy-preserving payment protocol, CryptoMaze. Instead of
independent paths, the funds are transferred from sender to receiver across
several payment channels responsible for routing, in a breadth-first fashion.
Payments are resolved faster at reduced setup cost, compared to existing
state-of-the-art. Correlation among the partial payments is captured,
guaranteeing atomicity. Further, two party ECDSA signature is used for
establishing scriptless locks among parties involved in the payment. It reduces
space overhead by leveraging on core Bitcoin scripts. We provide a formal model
in the Universal Composability framework and state the privacy goals achieved
by CryptoMaze. We compare the performance of our protocol with the existing
single path based payment protocol, Multi-hop HTLC, applied iteratively on one
path at a time on several instances. It is observed that CryptoMaze requires
less communication overhead and low execution time, demonstrating efficiency
and scalability.Comment: 30 pages, 9 figures, 1 tabl
Blockchain for Genomics:A Systematic Literature Review
Human genomic data carry unique information about an individual and offer
unprecedented opportunities for healthcare. The clinical interpretations
derived from large genomic datasets can greatly improve healthcare and pave the
way for personalized medicine. Sharing genomic datasets, however, pose major
challenges, as genomic data is different from traditional medical data,
indirectly revealing information about descendants and relatives of the data
owner and carrying valid information even after the owner passes away.
Therefore, stringent data ownership and control measures are required when
dealing with genomic data. In order to provide secure and accountable
infrastructure, blockchain technologies offer a promising alternative to
traditional distributed systems. Indeed, the research on blockchain-based
infrastructures tailored to genomics is on the rise. However, there is a lack
of a comprehensive literature review that summarizes the current
state-of-the-art methods in the applications of blockchain in genomics. In this
paper, we systematically look at the existing work both commercial and
academic, and discuss the major opportunities and challenges. Our study is
driven by five research questions that we aim to answer in our review. We also
present our projections of future research directions which we hope the
researchers interested in the area can benefit from
Blockchain for Genomics:A Systematic Literature Review
Human genomic data carry unique information about an individual and offer
unprecedented opportunities for healthcare. The clinical interpretations
derived from large genomic datasets can greatly improve healthcare and pave the
way for personalized medicine. Sharing genomic datasets, however, pose major
challenges, as genomic data is different from traditional medical data,
indirectly revealing information about descendants and relatives of the data
owner and carrying valid information even after the owner passes away.
Therefore, stringent data ownership and control measures are required when
dealing with genomic data. In order to provide secure and accountable
infrastructure, blockchain technologies offer a promising alternative to
traditional distributed systems. Indeed, the research on blockchain-based
infrastructures tailored to genomics is on the rise. However, there is a lack
of a comprehensive literature review that summarizes the current
state-of-the-art methods in the applications of blockchain in genomics. In this
paper, we systematically look at the existing work both commercial and
academic, and discuss the major opportunities and challenges. Our study is
driven by five research questions that we aim to answer in our review. We also
present our projections of future research directions which we hope the
researchers interested in the area can benefit from
Secure and Trustable Electronic Medical Records Sharing using Blockchain
Electronic medical records (EMRs) are critical, highly sensitive private
information in healthcare, and need to be frequently shared among peers.
Blockchain provides a shared, immutable and transparent history of all the
transactions to build applications with trust, accountability and transparency.
This provides a unique opportunity to develop a secure and trustable EMR data
management and sharing system using blockchain. In this paper, we present our
perspectives on blockchain based healthcare data management, in particular, for
EMR data sharing between healthcare providers and for research studies. We
propose a framework on managing and sharing EMR data for cancer patient care.
In collaboration with Stony Brook University Hospital, we implemented our
framework in a prototype that ensures privacy, security, availability, and
fine-grained access control over EMR data. The proposed work can significantly
reduce the turnaround time for EMR sharing, improve decision making for medical
care, and reduce the overall costComment: AMIA 2017 Annual Symposium Proceeding
- …