79 research outputs found
From Trade-only to Zero-Value NFTs: The Asset Proxy NFT Paradigm in Web3
Many implementations of smart contracts available in NFT marketplaces today
allow the modification of NFT token attributes, without any specific mechanism
to control the consistency with off-chain metadata. We believe this is a
weakness in overall design of NFTs today. We propose a computation model called
the Asset Proxy NFT that guarantees the consistency between the NFT token
(on-chain) and its corresponding asset metadata (off-chain). In general, the
proposed model can be applied to any type of NFT that requires immutability or
controlled mutability of metadata. A second contribution of this paper is the
notion of the NFT design patterns which recognizes that a coherent framework
for dealing with hybrid assets is required, and that for specific hybrid-asset
deployments, suitable technological components must be utilized under the
framework.Comment: 15 pages, 2 figure
An Attestation Architecture for Blockchain Networks
If blockchain networks are to become the building blocks of the
infrastructure for the future digital economy, then several challenges related
to the resiliency and survivability of blockchain networks need to be
addressed. The survivability of a blockchain network is influenced by the
diversity of its nodes. Trustworthy device-level attestations permits nodes in
a blockchain network to provide truthful evidence regarding their current
configuration, operational state, keying material and other system attributes.
In the current work we review the recent developments towards a standard
attestation architecture and evidence conveyance protocols. We explore the
applicability and benefits of a standard attestation architecture to blockchain
networks. Finally, we discuss a number of open challenges related to node
attestations that has arisen due to changing model of blockchain network
deployments, such as the use virtualization and containerization technologies
for nodes in cloud infrastructures.Comment: 33 pages, 10 figure
RoboChain: A Secure Data-Sharing Framework for Human-Robot Interaction
Robots have potential to revolutionize the way we interact with the world
around us. One of their largest potentials is in the domain of mobile health
where they can be used to facilitate clinical interventions. However, to
accomplish this, robots need to have access to our private data in order to
learn from these data and improve their interaction capabilities. Furthermore,
to enhance this learning process, the knowledge sharing among multiple robot
units is the natural step forward. However, to date, there is no
well-established framework which allows for such data sharing while preserving
the privacy of the users (e.g., the hospital patients). To this end, we
introduce RoboChain - the first learning framework for secure, decentralized
and computationally efficient data and model sharing among multiple robot units
installed at multiple sites (e.g., hospitals). RoboChain builds upon and
combines the latest advances in open data access and blockchain technologies,
as well as machine learning. We illustrate this framework using the example of
a clinical intervention conducted in a private network of hospitals.
Specifically, we lay down the system architecture that allows multiple robot
units, conducting the interventions at different hospitals, to perform
efficient learning without compromising the data privacy.Comment: 7 pages, 6 figure
Design and security issues in strongbox systems for the internet
This paper presents and discusses some design and security issues surrounding electronic strongboxes as an electronic counterpart of physical strongboxes typically found in large traditional financial institutions. The concept of electronic strongboxes is briefly discussed, comparing against physical strongboxes. A basic system for electronic strongboxes is then provided and the functional and security requirements of the system\u27s components is presented
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