Comparative Analysis of Decentralized Identity Approaches

【Author】 Alizadeh, Morteza; Andersson, Karl; Schelen, Olov

【Source】IEEE ACCESS

【影响因子】3.476

【Abstract】Decentralization is essential when trust and performance must not depend on a single organization. Distributed Ledger Technologies (DLTs) and Decentralized Hash Tables (DHTs) are examples where the DLT is useful for transactional events, and the DHT is useful for large-scale data storage. The combination of these two technologies can meet many challenges. The blockchain is a DLT with immutable history protected by cryptographic signatures in data blocks. Identification is an essential issue traditionally provided by centralized trust anchors. Self-sovereign identities (SSIs) are proposed decentralized models where users can control and manage their identities with the help of DHT. However, slowness is a challenge among decentralized identification systems because of many connections and requests among participants. In this article, we focus on decentralized identification by DLT and DHT, where users can control their information and store biometrics. We survey some existing alternatives and address the performance challenge by comparing different decentralized identification technologies based on execution time and throughput. We show that the DHT and machine learning model (BioIPFS) performs better than other solutions such as uPort, ShoCard, and BBID.

【Keywords】Blockchains; Cloud computing; Internet; Decentralized applications; Social networking (online); Distributed ledger; Privacy; Identification; decentralization; distributed hash table; self-sovereign identity

【发表时间】2022

【收录时间】2022-09-22

【文献类型】实证数据

【主题类别】

区块链应用-虚拟经济-虚拟身份