VeDB: A Software and Hardware Enabled Trusted Relational Database

Abstract

Blockchain-like ledger databases emerge in recent years as a more efficient alternative to permissioned blockchains. Conventional ledger databases mostly rely on authenticated structures such as the Merkle tree and transparency logs for supporting auditability, and hence they suffer from the performance problem. As opposed to conventional ledger DBMSes, we design VeDB - a high-performance verifiable software (Ve-S) and hardware (Ve-H) enabled DBMS with rigorous auditability for better user options and broad applications. In Ve-S, we devise a novel verifiable Shrubs array (VSA) with two-layer ordinals (serial numbers) which outperforms conventional Merkle tree-based models due to lower CPU and I/O cost. It enables rigorous auditability through its efficient credible timestamp range authentication method, and fine-grained data verification at the client side, which are lacking in state-of-the-art relational ledger databases. In Ve-H, we devise a non-intrusive trusted affiliation by TEE leveraging digest signing, monotonic counters, and trusted timestamps in VeDB, which supports both data notarization and lineage applications. The experimental results show that VeDB-VSA outperforms Merkle tree-based authenticated data structures (ADS) up to 70× and 3.7× for insertion and verification; and VeDB Ve-H data lineage verification is 8.5× faster than Ve-S.

ROBB: Recurrent Proximal Policy Optimization Reinforcement Learning for Optimal Block Formation in Bitcoin Blockchain Network

“…In [11], the literature provides a comprehensive exploration of VeDB, a trusted relational database system that integrates both software (Ve-S) and hardware (Ve-H) enabled solutions for data notarization and lineage. It discusses the improvement of latency through the use of Intel Converged Security and Management Engine (CSME) and the implementation of a Physical Secure Timer in ARM architecture and Risc-V enclave.…”

Cost-Effectively Searchable Blackbox Data With Unlinkability Based on Public Blockchain

“…A threat model is essential for evaluating and enhancing the security of a system or application [23], [24]. Threat modeling involves identifying potential threats, assessing how these threats can impact the system, and developing strategies to mitigate or manage these threats.…”

Improved PBFT Algorithm Based on K-Means Clustering for Emergency Scenario Swarm Robotic Systems

“…Allouch et al [22] proposed a lightweight security solution based on blockchain to ensure data security when UAV systems are connected to the Internet. At the same time, LedgerDB [23] and VeDB [24], as the latest ledger databases, provide tamper-evidence and non-repudiation features with high performance. It has strong auditability and wide verification scope, and can flexibly support tamper-proof applications.…”