====== Bibliography ====== ===== Hyperledger Fabric ===== * [[https://www.hyperledger.org/projects/fabric | Hyperledger Fabric official site]] * [[https://hyperledger-fabric.readthedocs.io/en/latest/index.html | HLF documentationn]] * [[https://courses.edx.org/courses/course-v1:LinuxFoundationX+LFS171x+3T2018/course | Blockchain for Business - An Introduction to Hyperledger Technologies]] * [[https://dl.acm.org/ft_gateway.cfm?id=3190538&type=pdf | E. Androulaki et al. “Hyperledger Fabric: A Distributed Operating System for Permissioned Blockchains,” in Proceedings of the Thirteenth EuroSys Conference, April 23-26, Porto, Portugal, Article No. 30 , ACM, 2018.]] * {{archive:rsf00075:hlf_performance.zip | HLF Performance}} ===== Hyperledger Composer ===== * [[https://hyperledger.github.io/composer/latest | Hyperledger Composer site]] * [[https://hyperledger.github.io/composer/latest/introduction/introduction.html | HLC documentation]] ===== Consensus ===== * [[https://pdfs.semanticscholar.org/da8a/37b10bc1521a4d3de925d7ebc44bb606d740.pdf | A. Baliga “Understanding Blockchain Consensus Models,” Tech. rep., Persistent Systems Ltd, 2017, pp. 1-14]] ===== Related publications and projects ===== * [[https://par.nsf.gov/servlets/purl/10073922 | SmartProvenance]] * [[https://www.researchgate.net/profile/Sachin_Shetty11/publication/317182541_ProvChain_A_Blockchain-Based_Data_Provenance_Architecture_in_Cloud_Environment_with_Enhanced_Privacy_and_Availability/links/5a832cd7aca272d6501c3a6f/ProvChain-A-Blockchain-Based-Data-Provenance-Architecture-in-Cloud-Environment-with-Enhanced-Privacy-and-Availability.pdf | Provchain]] * [[https://www.researchgate.net/profile/Adeel_Anjum4/publication/317757353_Trustworthy_Data_A_Survey_Taxonomy_and_future_trends_of_Secure_Provenance_Schemes/links/59e9aa65aca272bc42b71c1f/Trustworthy-Data-A-Survey-Taxonomy-and-future-trends-of-Secure-Provenance-Schemes.pdf |F. Zafar et al. “Trustworthy Data: A Survey, Taxonomy and Future Trends of Secure Provenance Schemes”]], Journal of Network and Computer Applications, vol. 94, pp.50-68, 2017