Big Data Architecture for Scalable and Trustful DNS based on Sharded DAG Blockchain

【Author】 Chen, Wenyu; Yang, Xue; Zhang, Haikuo; Xu, Yanzhi; Pang, Zihan

【Source】JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY

【影响因子】1.813

【Abstract】Internet applications remain exposed to pervasive Domain Name System (DNS)-based threats. Blockchain technologies provide a new way for tackling DNS vulnerability issues, and have been highlighted recently. However, traditional blockchain is still not well suited for big data applications such as DNS, because the performance of blockchain consensus greatly limits its practical adoption. In this paper, we present DagGridLedger, a sharded directed acyclic graph (DAG) blockchain that provides scalable big data architecture for trustful DNS management. To achieve this goal, DagGridLedger proposes a radical new architecture that combines blockchain sharding and DAG techniques on the DNS resolver side, thereby making it a promising solution to enhance the security and stability of large-scale DNS system. To be specific, DagGridLedger provides a blockchain structure targeting DNS application, which employs a high-performance DAG consensus algorithm named DagGrid. DagGrid consensus realizes a multi-DNS negotiation mechanism through block sharding in generating a block. With an improved asynchronous leaderless Byzantine consensus, DagGrid implements total order determination, which guarantees the trustful DNS management. Further experiments verified the performance of DagGridLedger as well as the applicability of the proposed blockchain architecture in traditional DNS. To this end, DagGridLedger consistently achieves a big data architecture for secure DNS record management, with a novel shared DAG consensus designed for high throughput. This makes DagGridLedger a promising architecture for highly secure and efficient DNS solution.

【Keywords】Domain Name System (DNS); Big data; Blockchain consensus; Directed Acyclic Graph (DAG); Trustful data management

【发表时间】2021 JUL

【收录时间】2022-01-02

【文献类型】

【主题类别】

--