Be a Trusted Third Party but not a Privileged Insider

ABSTRACT A significant achievement of blockchain technology is its ability to enable distributed consensus‐based systems to operate without relying on a trusted third party (TTP). However, anonymity within privacy‐preserving distributed applications (DApps) remains a double‐edged sword, balancing privacy with potential misuse. Implementing distributed conditional privacy algorithms complicates this balance, frequently leading developers to adopt centralized approaches that conflict with blockchain's decentralized principles. Consequently, achieving an optimal balance between fully distributed and centralized architectures often fails to meet community expectations. In response, this study introduces a streamlined and effective theorem, “ Managing under Limitation ”. Unlike advanced cryptographic tools (which often rely on TTPs) or nested schemes (which are complex to implement and analyze), this approach allows legislatures to enforce regulations without directly accessing users' sensitive information as privileged insiders. This approach is expected to streamline regulatory compliance, foster trust among stakeholders, and promote broader adoption of blockchain‐based services.

Authors

Institutions

Publication Details

Journal
Security and Privacy
Published
2025-09-01
DOI
https://doi.org/10.1002/spy2.70092
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Be a Trusted Third Party but not a Privileged Insider

Saeed Banaeian Far, Mohammad Reza Chalak Qazani, Azadeh Imani Rad
Security and Privacy
Blockchain Technology Applications and Security
article

Be a Trusted Third Party but not a Privileged Insider

Saeed Banaeian Far, Mohammad Reza Chalak Qazani, Azadeh Imani Rad
article en

Abstract

ABSTRACT A significant achievement of blockchain technology is its ability to enable distributed consensus‐based systems to operate without relying on a trusted third party (TTP). However, anonymity within privacy‐preserving distributed applications (DApps) remains a double‐edged sword, balancing privacy with potential misuse. Implementing distributed conditional privacy algorithms complicates this balance, frequently leading developers to adopt centralized approaches that conflict with blockchain's decentralized principles. Consequently, achieving an optimal balance between fully distributed and centralized architectures often fails to meet community expectations. In response, this study introduces a streamlined and effective theorem, “ Managing under Limitation ”. Unlike advanced cryptographic tools (which often rely on TTPs) or nested schemes (which are complex to implement and analyze), this approach allows legislatures to enforce regulations without directly accessing users' sensitive information as privileged insiders. This approach is expected to streamline regulatory compliance, foster trust among stakeholders, and promote broader adoption of blockchain‐based services.

Security and PrivacyVol. 8(5)
School of International Relations (IR), Sohar University (OM), James Cook University (AU)
Openalex Percentile: Top 65%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Be a Trusted Third Party but not a Privileged Insider — Saeed Banaeian Far, Mohammad Reza Chalak Qazani, et al. · Security and Privacy (2025) | TGRS Research Map | TGRS