Moving Smart Contracts -- A Privacy Preserving Method for Off-Chain Data Trust

التفاصيل البيبلوغرافية
العنوان: Moving Smart Contracts -- A Privacy Preserving Method for Off-Chain Data Trust
المؤلفون: Tschirner, Simon, Tripathi, Shashank Shekher, Roeper, Mathias, Becker, Markus M., Skwarek, Volker
سنة النشر: 2022
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Cryptography and Security, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Multiagent Systems, Computer Science - Software Engineering, C.2.4, E.2, E.3
الوصف: Blockchains provide environments where parties can interact transparently and securely peer-to-peer without needing a trusted third party. Parties can trust the integrity and correctness of transactions and the verifiable execution of binary code on the blockchain (smart contracts) inside the system. Including information from outside of the blockchain remains challenging. A challenge is data privacy. In a public system, shared data becomes public and, coming from a single source, often lacks credibility. A private system gives the parties control over their data and sources but trades in positive aspects as transparency. Often, not the data itself is the most critical information but the result of a computation performed on it. An example is research data certification. To keep data private but still prove data provenance, researchers can store a hash value of that data on the blockchain. This hash value is either calculated locally on private data without the chance for validation or is calculated on the blockchain, meaning that data must be published and stored on the blockchain -- a problem of the overall data amount stored on and distributed with the ledger. A system we called moving smart contracts bypasses this problem: Data remain local, but trusted nodes can access them and execute trusted smart contract code stored on the blockchain. This method avoids the system-wide distribution of research data and makes it accessible and verifiable with trusted software.
Comment: 10 pages, 6 figures
نوع الوثيقة: Working Paper
الوصول الحر: http://arxiv.org/abs/2205.08440Test
رقم الانضمام: edsarx.2205.08440
قاعدة البيانات: arXiv