Design of a cryptographic simulation system for classification privacy based on blockchain technology

Chen Zhang

doi:10.1117/12.2647316

23 August 2022 Design of a cryptographic simulation system for classification privacy based on blockchain technology

Chen Zhang

Proceedings Volume 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022); 123300F (2022) https://doi.org/10.1117/12.2647316
Event: International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 2022, Huzhou, China

Abstract

At present, privacy issues have become one of the great obstacles to the further development of web technology. If it cannot ensure that privacy is protected, then all kinds of user data and related privacy can be stolen, which will seriously hinder the trust of individuals, enterprises and others in technology, and thus the progress of technology. Therefore, privacy protection technologies are of particular importance. Through the analysis of Internet security incidents, this paper explains the research background and significance of privacy protection, and analyses the development status of privacy protection and summarises the challenges faced by privacy protection; then by analysing blockchain technology, it makes a research analysis on the feasibility of its application to privacy protection, gives the research ideas and specific research contents of this thesis, and finally describes the organisational structure of this thesis. The study provides new ideas for subsequent research in this field.

Citation Download Citation

Chen Zhang "Design of a cryptographic simulation system for classification privacy based on blockchain technology", Proc. SPIE 12330, International Conference on Cyber Security, Artificial Intelligence, and Digital Economy (CSAIDE 2022), 123300F (23 August 2022); https://doi.org/10.1117/12.2647316

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available