Post-quantum era privacy protection for intelligent infrastructures

L Malina, P Dzurenda, S Ricci, J Hajny… - IEEE …, 2021 - ieeexplore.ieee.org
As we move into a new decade, the global world of Intelligent Infrastructure (II) services
integrated into the Internet of Things (IoT) are at the forefront of technological advancements …

Capturing autonomy in its multiple facets: A Digital Twin approach

R Heininger, C Stary - Proceedings of the 2021 ACM Workshop on …, 2021 - dl.acm.org
Autonomy has been touted to be a major asset of Cyber-Physical Systems (CPS) and its
components. By intertwining non-physical and physical processes they seamlessly integrate …

Quantum Computing Integrated Patterns for Real-Time Cryptography in Assorted Domains

S Nagpal, S Gaba, I Budhiraja, M Sharma… - IEEE …, 2024 - ieeexplore.ieee.org
Quantum computers use quantum-mechanical phenomena for knowledge manipulation and
depend on quantum bits or qubits. A qubit can be created in several different ways, and out …

Enabling privacy by anonymization in the collection of similar data in multi-domain IoT

RCJ Neto, P Merindol, F Theoleyre - Computer Communications, 2023 - Elsevier
The efficiency of Internet of Things (IoT) systems heavily relies on possessing trustworthy
and up-to-date data. Thus, data collection represents a key feature in IoT applications and …

Evaluation of re-identification risks in data anonymization techniques based on population uniqueness

PLMK Bandara, HMND Bandara… - 2020 5th International …, 2020 - ieeexplore.ieee.org
With the increasing appetite for publicly available personal data for various analytics and
decision making, due care must be taken to preserve the privacy of data subjects before any …

Assessing identity disclosure risk in the absence of identified datasets in the public domain

PN Muturi, AM Kahonge… - East African Journal of …, 2022 - journals.eanso.org
Data release is essential in supporting data analytics and secondary data analyses.
However, data curators need to ensure the released datasets preserve data subjects' …

RWN: A Novel Neighborhood-Based Method for Statistical Disclosure Control

N Perry, N Matloff, P Tendick - arxiv preprint arxiv:2210.06687, 2022 - arxiv.org
arxiv:2210.06687v1 [stat.ME] 13 Oct 2022 Page 1 RWN: A Novel Neighborhood-Based
Method for Statistical Disclosure Control Noah Perry, Department of Statistics, University of …

Privacy-aware aggregation of IoT streams in multi-owner networks

RCJ Neto - 2022 - theses.hal.science
Current deployments of IoT systems for smart cities and smart grids have a high density of
devices. Which lead networks to encounter issues as deployment space and network …

[PDF][PDF] Privacy and data confidentiality for Official Statistics: new challenges and new tools

F Ricciato, A Bujnowska - 2021 - researchgate.net
The modern society is undergoing a process of massive datafication [1]. The availability of
new digital data sources represents an opportunity for Statistical Offices (SO) to complement …

A conceptual framework for assessing anonymization-utility trade-offs based on principal component analysis

G D'Acquisto, M Naldi - arxiv preprint arxiv:1903.11700, 2019 - arxiv.org
An anonymization technique for databases is proposed that employs Principal Component
Analysis. The technique aims at releasing the least possible amount of information, while …