eprintid: 14609
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/46/09
datestamp: 2023-11-10 03:29:12
lastmod: 2023-11-10 03:29:12
status_changed: 2023-11-10 01:57:21
type: article
metadata_visibility: show
creators_name: Junejo, A.Z.
creators_name: Hashmani, M.A.
creators_name: Memon, M.M.
title: Empirical evaluation of privacy efficiency in blockchain networks: Review and open challenges
ispublished: pub
note: cited By 11
abstract: With the widespread of blockchain technology, preserving the anonymity and confidentiality of transactions have become crucial. An enormous portion of blockchain research is dedicated to the design and development of privacy protocols but not much has been achieved for proper assessment of these solutions. To mitigate the gap, we have first comprehensively classified the existing solutions based on blockchain fundamental building blocks (i.e., smart contracts, cryptog-raphy, and hashing). Next, we investigated the evaluation criteria used for validating these techniques. The findings depict that the majority of privacy solutions are validated based on computing resources i.e., memory, time, storage, throughput, etc., only, which is not sufficient. Hence, we have additionally identified and presented various other factors that strengthen or weaken blockchain privacy. Based on those factors, we have formulated an evaluation framework to analyze the efficiency of blockchain privacy solutions. Further, we have introduced a concept of privacy precision that is a quantifiable measure to empirically assess privacy efficiency in blockchains. The calculation of privacy precision will be based on the effectiveness and strength of various privacy protecting attributes of a solution and the associated risks. Finally, we conclude the paper with some open research challenges and future directions. Our study can serve as a benchmark for empirical assessment of blockchain privacy. © by the authors. Licensee MDPI, Basel, Switzerland.
date: 2021
publisher: MDPI AG
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112615872&doi=10.3390%2fapp11157013&partnerID=40&md5=3914d071d1b1860cea3c85364cdd1b2b
id_number: 10.3390/app11157013
full_text_status: none
publication: Applied Sciences (Switzerland)
volume: 11
number: 15
refereed: TRUE
issn: 20763417
citation:   Junejo, A.Z. and Hashmani, M.A. and Memon, M.M.  (2021) Empirical evaluation of privacy efficiency in blockchain networks: Review and open challenges.  Applied Sciences (Switzerland), 11 (15).   ISSN 20763417