William Bowditch
Privacy-preserving Surveillance Methods using Homomorphic Encryption
Bowditch, William; Abramson, Will; Buchanan, William J; Pitropakis, Nikolaos; Hall, Adam J
Authors
Will Abramson
Prof Bill Buchanan B.Buchanan@napier.ac.uk
Professor
Dr Nick Pitropakis N.Pitropakis@napier.ac.uk
Associate Professor
Adam J Hall
Abstract
Data analysis and machine learning methods often involve the processing of cleartext data, and where this could breach the rights to privacy. Increasingly, we must use encryption to protect all states of the data: in-transit, at-rest, and in-memory. While tunnelling and symmetric key encryption are often used to protect data in-transit and at-rest, our major challenge is to protect data within memory, while still retaining its value. Ho-momorphic encryption, thus, could have a major role in protecting the rights to privacy, while providing ways to learn from captured data. Our work presents a novel use case and evaluation of the usage of homomorphic encryption and machine learning for privacy respecting state surveillance.
Citation
Bowditch, W., Abramson, W., Buchanan, W. J., Pitropakis, N., & Hall, A. J. (2020, February). Privacy-preserving Surveillance Methods using Homomorphic Encryption. Presented at 6th International Conference on Information Security Systems and Privacy (ICISSP), Valletta, Malta
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 6th International Conference on Information Security Systems and Privacy (ICISSP) |
Start Date | Feb 25, 2020 |
End Date | Feb 27, 2020 |
Acceptance Date | Dec 3, 2019 |
Publication Date | 2020 |
Deposit Date | Jan 9, 2020 |
Publicly Available Date | Oct 12, 2020 |
Publisher | Scitepress Digital Library |
Volume | 1 |
Pages | 240-248 |
Book Title | ICISSP: Proceedings of the 6th International Conference on Information Systems Security and Privacy |
ISBN | 978-989-758-399-5 |
DOI | https://doi.org/10.5220/0008864902400248 |
Keywords | Cryptography; SEAL; Machine Learning; Homomorphic Encryption; FV (Fan and Vercauteren) |
Public URL | http://researchrepository.napier.ac.uk/Output/2461708 |
Publisher URL | http://www.icissp.org/Home.aspx |
Files
Privacy Preserving Surveillance Methods Using Homomorphic Encryption
(261 Kb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by-nc-nd/4.0/
Copyright Statement
Published under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.
You might also like
Chaotic Quantum Encryption to Secure Image Data in Post Quantum Consumer Technology
(2024)
Journal Article
SRSS: A New Chaos-Based Single-Round Single S-Box Image Encryption Scheme for Highly Auto-Correlated Data
(2023)
Presentation / Conference Contribution
CellSecure: Securing Image Data in Industrial Internet-of-Things via Cellular Automata and Chaos-Based Encryption
(2023)
Presentation / Conference Contribution
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search