Strong Anonymous Signatures

The paper analyzes the privacy preserving problem for distributed ledgers. It provides an overview of technologies such as mixers, zero-knowledge proof algorithms, homo- morphic encryption, secure multi-party computation, anonymous signatures, and hardware solutions. Advantages and disadvantages of each technology are identified, as well as usage samples in the existing distributed ledgers. As a result, unsolved problems and prospects for further research are formulated.

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Research on anonymous signatures and group signatures

Computer Communications ◽

10.1016/j.comcom.2008.09.003 ◽

2008 ◽

Vol 31 (17) ◽

pp. 4199-4205

Author(s):

Fucai Zhou ◽

Jun Zhang ◽

Jian Xu

Keyword(s):

Group Signatures ◽

Anonymous Signatures

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Anonymous Signatures Made Easy

Public Key Cryptography – PKC 2007 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-71677-8_3 ◽

2007 ◽

pp. 31-42 ◽

Cited By ~ 7

Author(s):

Marc Fischlin

Keyword(s):

Anonymous Signatures

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The dark side of e-petitions? Exploring anonymous signatures

First Monday ◽

10.5210/fm.v22i2.6001 ◽

2017 ◽

Cited By ~ 3

Author(s):

Janne Berg

Keyword(s):

Content Analysis ◽

Political Participation ◽

The Other ◽

Dark Side ◽

Factors Affecting ◽

Quantitative Content ◽

Key Factor ◽

Anonymous Signatures ◽

The One ◽

The Right

This paper analyzes anonymous political participation in the form of e-petition signing. The purpose of this study is to increase knowledge about patterns behind anonymous e-petition signing. Since online political participation evokes an important discussion about the balance between the need for transparency on the one hand, and the right for anonymity on the other hand, it is crucial to increase our knowledge of the factors affecting citizens’ choices to remain anonymous. Using quantitative content analysis of 220 informal e-petitions on the site adressit.com in Finland, this study seeks to find possible determinants for the share of anonymous signatures. Findings indicate that the type of demand presented in the e-petition is a key factor predicting the share of anonymous signatures.

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