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Hyunjun Jung, Heung-No Lee*, “ECCPoW: Error-Correction Code Based Proof-of-Work for ASIC Resistance”
2020.08.26
ECCPoW: Error-Correction Code Based Proof-of-Work for ASIC Resistance Hyunjun Jung, Heung-No Lee Symmetry, June. 2020, 12(6), 988 (impact Factor: 2.143, Do-Yak project)
symmetry-12-00988.pdf
Jehyuk Jang and Heung-No Lee*, “Profitable Double-Spending Attacks”
2020.08.26
Profitable Double-Spending Attacks Jehyuk Jang and Heung-No Lee submitted to IEEE Trans. Information Forensics and Security. MATLAB script: https://codeocean.com/capsule/2308305/tree
Profitable-DS-attacks_revised.pdf
Mohamed Yaseen.J and Heung-No Lee*, “Blockchain-Based Distributed Patient-Centric Image Management System”
2020.08.26
Blockchain-Based Distributed Patient-Centric Image Management System Mohamed Yaseen Jabarulla, Heung-No Lee Under review in IEEE Journal of Translational Engineering in Health and Medicine. arXiv:2003.08054 In recent years, many researchers have focused on developing a feasible solution for storing and exchanging medical images in the field of health care. Current practices are deployed on cloud-based centralized data centers, which increase maintenance costs, require massive storage space, and raise privacy concerns about sharing information over a network. Therefore, it is important to design a framework to enable sharing and storing of big medical data efficiently within a trustless environment. In the present paper, we propose a novel proof-of-concept design for a distributed patient-centric image management (PCIM) system that is aimed to ensure safety and control of patient private data without using any centralized infrastructure. In this system, we employed an emerging Ethereum blockchain and a distributed file system technology called InterPlanetary File System (IPFS). Then, we implemented an Ethereum smart contract called the patient-centric access control protocol to enable a distributed and trustworthy access control policy. IPFS provides the means for decentralized storage of medical images with global accessibility. The PCIM system ensures a high level of data security and reduces fragmentation of patient health records by applying the steganography and asymmetric cryptographic technique. We describe how the PCIM system architecture facilitates the distributed and secured patient-centric data access across multiple entities such as hospitals, patients, and image requestors. Finally, we conduct and experiment to test the framework within the Windows environment and deploy a smart contract prototype on an Ethereum testnet blockchain. The experimental results demonstrate that the proposed scheme is feasible.
2003.08054.pdf
Sangjun Park, Haeung Choi, Heung-No Lee*, “Time-Variant Proof-of-Work using Error-Correction Codes”
2020.08.25
Time-Variant Proof-of-Work Using Error-Correction Codes Sangjun Park, Haeung Choi, Heung-No Lee Submitted to IEEE Trans. on Information Forencis and Security. The protocol for cryptocurrencies can be divided into three parts, namely consensus, wallet, and networking overlay. The aim of the consensus part is to bring trustless rational peer-to-peer nodes to an agreement to the current status of the blockchain. The status must be updated through valid transactions. A proof-of-work (PoW) based consensus mechanism has been proven to be secure and robust owing to its simple rule and has served as a firm foundation for cryptocurrencies such as Bitcoin and Ethereum. Specialized mining devices have emerged, as rational miners aim to maximize profit, and caused two problems: i) the re-centralization of a mining market and ii) the huge energy spending in mining. In this paper, we aim to propose a new PoW called Error-Correction Codes PoW (ECCPoW) where the error-correction codes and their decoder can be utilized for PoW. In ECCPoW, puzzles can be intentionally generated to vary from block to block, leading to a time-variant puzzle generation mechanism. This mechanism is useful in repressing the emergence of the specialized mining devices. It can serve as a solution to the two problems of recentralization and energy spending.
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