Bloom Filter Look-Up Tables for Private and Secure Distributed Databases in Web3 (Revised Version)

TL;DR

This paper introduces a novel decentralized database scheme using Bloom Filter Look-Up Tables (BFLUT) for secure, private key management in Web3, enhancing security and privacy without exposing cryptographic keys.

Contribution

It presents a new decentralized key management approach employing BFLUT to prevent key exposure, integrated with OrbitDB, IPFS, and IPNS for scalable, secure data handling.

Findings

Successfully prevents key exposure even if multiple nodes are compromised

Ensures secure and private retrieval of cryptographic keys

Maintains high performance and scalability in decentralized environments

Abstract

The rapid growth of decentralized systems in theWeb3 ecosystem has introduced numerous challenges, particularly in ensuring data security, privacy, and scalability [3, 8]. These systems rely heavily on distributed architectures, requiring robust mechanisms to manage data and interactions among participants securely. One critical aspect of decentralized systems is key management, which is essential for encrypting files, securing database segments, and enabling private transactions. However, securely managing cryptographic keys in a distributed environment poses significant risks, especially when nodes in the network can be compromised [9]. This research proposes a decentralized database scheme specifically designed for secure and private key management. Our approach ensures that cryptographic keys are not stored explicitly at any location, preventing their discovery even if an attacker gains control of multiple nodes. Instead of traditional storage, keys are encoded and distributed using the BFLUT (Bloom Filter for Private Look-Up Tables) algorithm [7], which enables secure retrieval without direct exposure. The system leverages OrbitDB [4], IPFS [1], and IPNS [10] for decentralized data management, providing robust support for consistency, scalability, and simultaneous updates. By combining these technologies, our scheme enhances both security and privacy while maintaining high performance and reliability. Our findings demonstrate the system's capability to securely manage keys, prevent unauthorized access, and ensure privacy, making it a foundational solution for Web3 applications requiring decentralized security.