Zero-Knowledge Proof-of-Identity: Sybil-Resistant, Anonymous Authentication on Permissionless Blockchains and Incentive Compatible, Strictly Dominant Cryptocurrencies

Sánchez, David Cerezo

doi:10.2139/ssrn.3392331

Cited by 5 publications

(2 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In our model three different chains are used for storing patient, doctors and insurer communication respectively in p‐chain, d‐chain & i‐chain. P‐chain as a permissionless implies Zero‐Knowledge Proof‐of‐Identity (zk‐PoI) 33 consensus where miners are verified by trusted public certificates. It's really hard to get 51% control over the network by the malicious node to perform Sybil attack.…”

Section: Threat Modelmentioning

confidence: 99%

“…In this framework three chains namely p‐chain , d‐chain , and i‐chain are used to handle patients EHR, diagnosis report and claim settlement issues respectively. p‐chain is a permissionless blockchain followed by Zero‐Knowledge Proof‐of‐Identity (zk‐PoI) 33 consensus and others use PBFT. Participating node includes patients gadget, organizational server or PCs.…”

Section: Proposed Model Descriptionmentioning

confidence: 99%

See 1 more Smart Citation

Smart h‐Chain: A blockchain based healthcare framework with insurance fraud detection

Mahapatra,

Sinha

2023

Trans Emerging Tel Tech

View full text Add to dashboard Cite

In today's smart applications, very frequently used data like electronic health records (EHR's) are highly sensitive and soft target to the unauthorized agencies. Data management, integrity, and security issues plague EHR systems. Insurance firms are prohibited by law and corporate privacy from sharing patient data, but because the data are not linked and synchronized among insurance providers, there has been a rise in healthcare fraud. A crucial component of an e‐health system is safe communication between patients, healthcare providers, and insurance companies. Building a system to securely manage and track insurance operations by combining data from all sources is required to combat health insurance fraud. Over time, blockchain grew in popularity, and the healthcare sector's interest in it led to the development of design concepts that addressed security issues. In this study, a blockchain‐based security architecture has been presented to protect the EHR and provide a secure method for patients, their caregivers, physicians, and insurance agents to access the clinical data of the patients. By using off‐chain storage and cryptographic key exchange through blockchain our approach also covers the scalability, integrity and access control issue that a healthcare system in general is facing.A crucial component of an e‐health system is safe communication between patients, healthcare providers, and insurance companies. A blockchain‐based security architecture has been presented to protect the EHR and provide a secure method for patients, caregivers, physicians, and insurance agents to access the clinical data of the patients.

show abstract

Section: Threat Modelmentioning

confidence: 99%

Section: Proposed Model Descriptionmentioning

confidence: 99%