A Fast Survey on Methods for Classification Anonymity Requirements

TL;DR

This paper provides a comprehensive overview of various methods and protocols for achieving classification anonymity, discussing their definitions, challenges, and future directions in the context of security and privacy.

Contribution

It offers a detailed survey of existing anonymity protocols, clarifies key privacy concepts, and explores future research directions in classification anonymity.

Findings

Most anonymity protocols are based on diverse approaches.

Clear definitions of privacy and anonymity are essential for progress.

Future research should address unresolved challenges in anonymity methods.

Abstract

Anonymity has become a significant issue in security field by recent advances in information technology and internet. The main objective of anonymity is hiding and concealing entities privacy inside a system. Many methods and protocols have been proposed with different anonymity services to provide anonymity requirements in various fields until now. Each anonymity method or protocol is developed using particular approach. In this paper, first, accurate and perfect definitions of privacy and anonymity are presented then most important problems in anonymity field are investigated. Afterwards, the numbers of main anonymity protocols are described with necessary details. Finally, all findings are concluded and some more future perspectives are discussed.