Avaliação do uso de Smart Contracts para Sistema de Saúde Colaborativa
Resumo
A tecnologia de blockchain surgiu como uma solução para integridade, não-repúdio e disponibilidade de dados para os diferentes setores da indústria. Cenários sensíveis a dados, como a área da saúde, podem se beneficiar dessas propriedades de blockchains. Consequentemente, diferentes pesquisas propuseram a adoção de blockchain em aplicações de saúde. No entanto, poucos são discutidos sobre métodos de incentivo para serem atraentes para um novo usuário. Além disso, poucos são discutidos sobre o desempenho durante a execução de códigos em blockchains. A fim de abordar essas questões, este trabalho apresenta a avaliação preliminar do TokenHealth, um aplicativo para saúde colaborativa com incentivos baseados em gamificação e baseados em token. A solução proposta é implementada usando o blockchain Ethereum com linguagem de desenvolvimento de smart contracts Solidity.
Palavras-chave:
Redes P2P, Segurança em redes
Referências
Azaria, A., Ekblaw, A., Vieira, T., and Lippman, A. (2016). Medrec: Using blockchain for medical data access and permission management. In 2016 2nd International Conference on Open and Big Data (OBD), pages 25–30.
BRASIL (2018). Lei geral de proteção de dados (lgpd). Disponı́vel em: http://www.planalto.gov.br/ccivil03/Ato2015-2018/2018/Mpv/mpv869.htm. Acesso em 20 Jul. 2019.
Chang, T. H. and Svetinovic, D. (2016). Data analysis of digital currency networks: Namecoin case study. In 2016 21st International Conference on Engineering of Complex Computer Systems (ICECCS), pages 122–125.
Coin Market Cap (2019). Cryptocurrencies by market capitalization. Disponı́vel em: https://coinmarketcap.com/. Acesso em 24 Jul. 2019.
Ethereum (2017). A Next-Generation Smart Contract and Decentralized Application Platform. Disponı́vel em: https://github.com/ethereum/wiki/wiki/White-Paper. Acessado em: 20-07-2019.
Google Inc. (2019). Google cloud platform. Disponı́vel em: https://cloud.google.com/. Acesso em 24 Jul. 2019.
Guo, R., Shi, H., Zhao, Q., and Zheng, D. (2018). Secure attribute-based signature scheme with multiple authorities for blockchain in electronic health records systems. IEEE Access, 6:11676–11686.
Kishigami, J., Fujimura, S., Watanabe, H., Nakadaira, A., and Akutsu, A. (2015). The blockchain-based digital content distribution system. In 2015 IEEE Fifth International Conference on Big Data and Cloud Computing, pages 187–190.
M. Parizi, R. and Dehghantanha, A. (2018). On the understanding of gamification in blockchain systems. In 2018 6th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), pages 214–219.
Mertz, L. (2018). (block) chain reaction: A blockchain revolution sweeps into health care, offering the possibility for a much-needed data solution. IEEE Pulse, 9(3):4–7.
Mettler, M. (2016). Blockchain technology in healthcare: The revolution starts here. In 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom), pages 1–3.
Min, X., Li, Q., Liu, L., and Cui, L. (2016). A permissioned blockchain framework for supporting instant transaction and dynamic block size. In 2016 IEEE Trustcom/BigDataSE/ISPA, pages 90–96.
Moura, T. and Gomes, A. (2017). Blockchain voting and its effects on election transparency and voter confidence. In Proceedings of the 18th Annual International Conference on Digital Government Research, dg.o ’17, pages 574–575, New York, NY, USA. ACM.
Nakamoto, S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System. Disponı́vel em: https://bitcoin.org/bitcoin.pdf. Acessado em: 20-06-2019.
Rifi, N., Rachkidi, E., Agoulmine, N., and Taher, N. C. (2017). Towards using blockchain technology for ehealth data access management. In 2017 Fourth International Conference on Advances in Biomedical Engineering (ICABME), pages 1–4.
Rouhani, S. and Deters, R. (2019). Security, performance, and applications of smart contracts: A systematic survey. IEEE Access, 7:50759–50779.
Tschorsch, F. and Scheuermann, B. (2016). Bitcoin and beyond: A technical survey on decentralized digital currencies. IEEE Communications Surveys Tutorials, 18(3):2084– 2123.
Xia, Q., Sifah, E. B., Asamoah, K. O., Gao, J., Du, X., and Guizani, M. (2017). Medshare: Trust-less medical data sharing among cloud service providers via blockchain. IEEE Access, 5:14757–14767.
Zyskind, G., Nathan, O., and Pentland, A. . (2015). Decentralizing privacy: Using blockchain to protect personal data. In 2015 IEEE Security and Privacy Workshops, pages 180–184.
BRASIL (2018). Lei geral de proteção de dados (lgpd). Disponı́vel em: http://www.planalto.gov.br/ccivil03/Ato2015-2018/2018/Mpv/mpv869.htm. Acesso em 20 Jul. 2019.
Chang, T. H. and Svetinovic, D. (2016). Data analysis of digital currency networks: Namecoin case study. In 2016 21st International Conference on Engineering of Complex Computer Systems (ICECCS), pages 122–125.
Coin Market Cap (2019). Cryptocurrencies by market capitalization. Disponı́vel em: https://coinmarketcap.com/. Acesso em 24 Jul. 2019.
Ethereum (2017). A Next-Generation Smart Contract and Decentralized Application Platform. Disponı́vel em: https://github.com/ethereum/wiki/wiki/White-Paper. Acessado em: 20-07-2019.
Google Inc. (2019). Google cloud platform. Disponı́vel em: https://cloud.google.com/. Acesso em 24 Jul. 2019.
Guo, R., Shi, H., Zhao, Q., and Zheng, D. (2018). Secure attribute-based signature scheme with multiple authorities for blockchain in electronic health records systems. IEEE Access, 6:11676–11686.
Kishigami, J., Fujimura, S., Watanabe, H., Nakadaira, A., and Akutsu, A. (2015). The blockchain-based digital content distribution system. In 2015 IEEE Fifth International Conference on Big Data and Cloud Computing, pages 187–190.
M. Parizi, R. and Dehghantanha, A. (2018). On the understanding of gamification in blockchain systems. In 2018 6th International Conference on Future Internet of Things and Cloud Workshops (FiCloudW), pages 214–219.
Mertz, L. (2018). (block) chain reaction: A blockchain revolution sweeps into health care, offering the possibility for a much-needed data solution. IEEE Pulse, 9(3):4–7.
Mettler, M. (2016). Blockchain technology in healthcare: The revolution starts here. In 2016 IEEE 18th International Conference on e-Health Networking, Applications and Services (Healthcom), pages 1–3.
Min, X., Li, Q., Liu, L., and Cui, L. (2016). A permissioned blockchain framework for supporting instant transaction and dynamic block size. In 2016 IEEE Trustcom/BigDataSE/ISPA, pages 90–96.
Moura, T. and Gomes, A. (2017). Blockchain voting and its effects on election transparency and voter confidence. In Proceedings of the 18th Annual International Conference on Digital Government Research, dg.o ’17, pages 574–575, New York, NY, USA. ACM.
Nakamoto, S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System. Disponı́vel em: https://bitcoin.org/bitcoin.pdf. Acessado em: 20-06-2019.
Rifi, N., Rachkidi, E., Agoulmine, N., and Taher, N. C. (2017). Towards using blockchain technology for ehealth data access management. In 2017 Fourth International Conference on Advances in Biomedical Engineering (ICABME), pages 1–4.
Rouhani, S. and Deters, R. (2019). Security, performance, and applications of smart contracts: A systematic survey. IEEE Access, 7:50759–50779.
Tschorsch, F. and Scheuermann, B. (2016). Bitcoin and beyond: A technical survey on decentralized digital currencies. IEEE Communications Surveys Tutorials, 18(3):2084– 2123.
Xia, Q., Sifah, E. B., Asamoah, K. O., Gao, J., Du, X., and Guizani, M. (2017). Medshare: Trust-less medical data sharing among cloud service providers via blockchain. IEEE Access, 5:14757–14767.
Zyskind, G., Nathan, O., and Pentland, A. . (2015). Decentralizing privacy: Using blockchain to protect personal data. In 2015 IEEE Security and Privacy Workshops, pages 180–184.
Publicado
16/09/2019
Como Citar
BRANCO, Vinícius; LIPPERT, Bruno; NUNES, Henry; LUNARDI, Roben; ZORZO, Avelino.
Avaliação do uso de Smart Contracts para Sistema de Saúde Colaborativa. In: ESCOLA REGIONAL DE REDES DE COMPUTADORES (ERRC), 17. , 2019, Alegrete.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
.
p. 9-16.
DOI: https://doi.org/10.5753/errc.2019.9206.
