980 research outputs found
An Architecture for Biometric Electronic Identification Document System Based on Blockchain â€
This paper proposes an architecture for biometric electronic identification document (e-ID) system based on Blockchain for citizens identity verification in transactions corresponding to the notary, registration, tax declaration and payment, basic health services and registration of economic activities, among others. To validate the user authentication, a biometric e-ID system is used to avoid spoofing and related attacks. Also, to validate the document a digital certificate is used with the corresponding public and private key for each citizen by using a user’s PIN. The proposed transaction validation process was implemented on a Blockchain system in order to record and verify the transactions made by all citizens registered in the electoral census, which guarantees security, integrity, scalability, traceability, and no-ambiguity. Additionally, a Blockchain network architecture is presented in a distributed and decentralized way including all the nodes of the network, database and government entities such as national register and notary offices. The results of the application of a new consensus algorithm to our Blockchain network are also presented showing mining time, memory and CPU usage when the number of transactions scales up
A Decentralised Digital Identity Architecture
Current architectures to validate, certify, and manage identity are based on
centralised, top-down approaches that rely on trusted authorities and
third-party operators. We approach the problem of digital identity starting
from a human rights perspective, with a primary focus on identity systems in
the developed world. We assert that individual persons must be allowed to
manage their personal information in a multitude of different ways in different
contexts and that to do so, each individual must be able to create multiple
unrelated identities. Therefore, we first define a set of fundamental
constraints that digital identity systems must satisfy to preserve and promote
privacy as required for individual autonomy. With these constraints in mind, we
then propose a decentralised, standards-based approach, using a combination of
distributed ledger technology and thoughtful regulation, to facilitate
many-to-many relationships among providers of key services. Our proposal for
digital identity differs from others in its approach to trust in that we do not
seek to bind credentials to each other or to a mutually trusted authority to
achieve strong non-transferability. Because the system does not implicitly
encourage its users to maintain a single aggregated identity that can
potentially be constrained or reconstructed against their interests,
individuals and organisations are free to embrace the system and share in its
benefits.Comment: 30 pages, 10 figures, 3 table
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Security challenges and solutions for e-business
The advantages of economic growth and increasing ease of operation afforded by e-business and e-commerce developments are unfortunately matched by growth in cyber attacks. This paper outlines the common attacks faced by e-business and describes the defenses that can be used against them. It also reviews the development of newer security defense methods. These are: (1) biometrics for authentication; parallel processing to increase power and speed of defenses; (2) data mining and machine learning to identify attacks; (3) peer-to-peer security using blockchains; 4) enterprise security modelling and security as a service; and (5) user education and engagement. The review finds overall that one of the most prevalent dangers is social engineering in the form of phishing attacks. Recommended counteractions include education and training, and the development of new machine learning and data sharing approaches so that attacks can be quickly discovered and mitigated
ID-Care: a Model for Sharing Wide Healthcare Data
All over the world, there is a lot of patient health data in different locations such as hospitals, clinics, insurance companies, and other organizations. In this sense, global identification of the patient has emerged as an everyday healthcare challenge. Governments and institutions have to prioritize satisfactory, quick, and integrated decision-making in a wide, dispersed, and global environment because of unexpected challenges like pandemics or threats. In the current scientific literature, some of the existing challenges include support for a standard global unique identification that considers privacy issues, the combination of multiple technological biometry implementations, and personal documents. Thus, we propose a decentralized software model based on blockchain and smart contracts that includes privacy, global unique person identification supporting multiple combinations of documents, and biometric data using the Global Standards 1 - GS1 healthcare industry standard. Furthermore, we defined a methodology to evaluate a hypothetical use case of this model where an integrated and standard global health data sharing personal identification is crucial.
For this, we implemented the proposed model in a global-wide continent location through cloud machines, fog computing, and blockchain considering the unique patient data identification and evaluate a use case scenario based on the top 5 most globally visited tourist destinations (France, Spain, the United States of America, China, and Italy), with an approach based on this model. The results show that using a model for a global id for healthcare can help reduce costs, time, and efforts, especially in the context of health threats, where agility and financial support must be prioritized.N/
Securing CNN Model and Biometric Template using Blockchain
Blockchain has emerged as a leading technology that ensures security in a
distributed framework. Recently, it has been shown that blockchain can be used
to convert traditional blocks of any deep learning models into secure systems.
In this research, we model a trained biometric recognition system in an
architecture which leverages the blockchain technology to provide fault
tolerant access in a distributed environment. The advantage of the proposed
approach is that tampering in one particular component alerts the whole system
and helps in easy identification of `any' possible alteration. Experimentally,
with different biometric modalities, we have shown that the proposed approach
provides security to both deep learning model and the biometric template.Comment: Published in IEEE BTAS 201
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