FastVer: Making Data Integrity a Commodity
| Autor: | Ravi Ramamurthy, Johannes Gehrke, Nikhil Swamy, Jonathan Protzenko, Arvind Arasu, Tahina Ramananandro, Min Xu, Esha Ghosh, Donald Kossmann, Badrish Chandramouli, Srinath Setty, Alexander van Renen, Aseem Rastogi |
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| Rok vydání: | 2021 |
| Předmět: |
Correctness
Key-value database Computer science Concurrency Proof assistant 020206 networking & telecommunications 02 engineering and technology Collision Merkle tree Computer engineering 020204 information systems Data integrity 0202 electrical engineering electronic engineering information engineering Cryptographic hash function |
| Zdroj: | SIGMOD Conference |
| Popis: | We present FastVer, a high-performance key-value store with strong data integrity guarantees. FastVer is built as an extension of FASTER, an open-source, high-performance key-value store. It offers the same key-value API as FASTER plus an additional verify() method that detects if an unauthorized attacker tampered with the database and checks whether results of all read operations are consistent with historical updates. FastVer is based on a novel approach that combines the advantages of Merkle trees and deferred memory verification. We show that this approach achieves one to two orders of magnitudes higher throughputs than traditional approaches based on either Merkle trees or memory verification. We have formally proven the correctness of our approach in a proof assistant, ensuring that verify() detects any inconsistencies, except if a collision can be found on a cryptographic hash. |
| Databáze: | OpenAIRE |
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