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Efficient Data Verification Systems for Privacy Networks
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Author(s): Vinoth kumar V. (Jain University, India), Muthukumaran V. (REVA University, India), Rajalakshmi V. (REVA University, India), Ajanthaa Lakkshmanan (Annamalai University, India), Venkatasubramanian S. (Saranathan college of Engineering, India)and Mohan E. (Lord Venkateswara Engineering College, India)
Copyright: 2022
Pages: 15
Source title:
Handbook of Research on Technologies and Systems for E-Collaboration During Global Crises
Source Author(s)/Editor(s): Jingyuan Zhao (University of Toronto, Canada)and V. Vinoth Kumar (Jain University, India)
DOI: 10.4018/978-1-7998-9640-1.ch011
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Abstract
To overcome the problem with aggregated raw data, privacy preservation is the best answer. For privacy measures and other concerns, it delivers full throttle security for data. The essential reason for data security is that single transactions will not be permitted and recently utilised customers to communicate information securely. This study presents and compares various verification strategies based on the crypt arithmetic methodology for various set-valued data. It primarily checks for privacy risks in the sharing of details and information between the publisher, admin, and customers. There are various ways of preventing privacy violations, including the PPCDP technique for strong data that is non-trivial to implement. The authors used the Java Tomcat server, HTML, and JavaScript to develop a web application. We can automatically stop the person who is attempting to inject the vulnerability code using the technique, and all of this information is kept in the database.
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