A Scalable Approach to IoT Data Retrieval Using Blockchain, Aggregate Signatures, and Bloom Filters

Abstract

The Internet of Things (IoT) is a network of a variety of devices that generate diverse data and need scalable, efficient, and secure management. Traditional, centralized solutions often fail to meet the security and scalability needs of such networks. Blockchain enhances data security and integrity due to its decentralized nature. However, IoT devices are resource constrained. To address this, we propose a multi-layer blockchain framework. It utilizes several permissioned blockchains for parallel processing, which enhances scalability and access control. The framework works with decentralized storage like the InterPlanetary File System (IPFS). Bloom filters optimize data retrieval by filtering out non-existent content. Additionally, we incorporate the High-Performance Edwards Curve Aggregate Signature (HECAS). HECAS boosts transaction speed and block validation by 10%. It also cuts storage costs by 40%. The system ensures signatures can't be denied and verifies them quickly. This solves key blockchain issues in IoT. Tests show data detection is fast using Bloom’s filter and takes 1.21 seconds for present data and 0.02 seconds to notify the absence of data