Cryptographic Tools for Privacy Preservation
Doctoral thesis, 2021
Often, these devices don’t have enough computation power/storage space thus out-sourcing some aspects of the data management to the Cloud. Outsourcing computation/storage to a third party poses natural questions regarding the security and privacy of the shared sensitive data.
Intuitively, Cryptography is a toolset of primitives/protocols of which security prop- erties are formally proven while Privacy typically captures additional social/legislative requirements that relate more to the concept of “trust” between people, “how” data is used and/or “who” has access to data. This thesis separates the concepts by introducing an abstract model that classifies data leaks into different types of breaches. Each class represents a specific requirement/goal related to cryptography, e.g. confidentiality or integrity, or related to privacy, e.g. liability, sensitive data management and more.
The thesis contains cryptographic tools designed to provide privacy guarantees for different application scenarios. In more details, the thesis:
(a) defines new encryption schemes that provide formal privacy guarantees such as theoretical privacy definitions like Differential Privacy (DP), or concrete privacy-oriented applications covered by existing regulations such as the European General Data Protection Regulation (GDPR);
(b) proposes new tools and procedures for providing verifiable computation’s guarantees in concrete scenarios for post-quantum cryptography or generalisation of signature schemes;
(c) proposes a methodology for utilising Machine Learning (ML) for analysing the effective security and privacy of a crypto-tool and, dually, proposes a secure primitive that allows computing specific ML algorithm in a privacy-preserving way;
(d) provides an alternative protocol for secure communication between two parties, based on the idea of communicating in a periodically timed fashion.
Outsourced Computation
Verifiability
Cryptography
Privacy
Cloud Computing
Author
Carlo Brunetta
Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)
A Differentially Private Encryption Scheme
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),;Vol. 10599 LNCS(2017)p. 309-326
Paper in proceeding
HIKE: Walking the Privacy Trail
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),;Vol. 11124 LNCS(2018)p. 43-66
Paper in proceeding
Lattice-Based Simulatable VRFs: Challenges and Future Directions
Journal of Internet Services and Information Security,;Vol. 8(2018)p. 57-69
Journal article
Code-Based Zero Knowledge PRF Arguments
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),;Vol. 11723(2019)p. 171-189
Paper in proceeding
Modelling Cryptographic Distinguishers Using Machine Learning
Journal of Cryptographic Engineering,;Vol. 12(2022)p. 123-135
Journal article
Non-Interactive, Secure Verifiable Aggregation for Decentralized, Privacy-Preserving Learning
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),;Vol. 13083 LNCS(2021)p. 510-5128
Paper in proceeding
Turn-Based Communication Channels
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),;Vol. 13059 LNCS(2021)p. 376-392
Paper in proceeding
This thesis provides a classification of any form of data leakage while providing a separation between cryptographic and privacy guarantees. Intuitively, Cryptography is a toolset of primitive/protocols of which security properties are formally proven secure. On the other hand, Privacy captures additional social/legislative requirements that relate more to the concept of “trust” between people, “how” data is used and/or “who” has access to the data. For this reason, this thesis provides novel crypto-tools that guarantee privacy by design in several realistic applications.
PRECIS: Privacy and security in wearable computing devices
Swedish Research Council (VR) (2014-4845), 2015-01-01 -- 2018-12-31.
Subject Categories
Other Computer and Information Science
Mathematics
Computer and Information Science
Information Science
Computer Science
Areas of Advance
Information and Communication Technology
ISBN
978-91-7905-528-8
Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 4995
Publisher
Chalmers
Room 8103, EDIT Building, Maskingränd 2, Chalmers |Zoom: for the password, contact Carlo Brunetta.
Opponent: Prof. Thomas Johansson, Electrical and Information Technology, Lund University, Lund, Sweden