Multi-Party Computation as a Privacy-Enhancing Technology: Implications for Data Sharing by Businesses and Consumers

Data sharing through data marketplaces, which rely on a Trusted Third Party (TTP), can benefit businesses and society. However, many companies and consumers are increasingly reluctant to share data due to mounting concerns over data control and privacy. Emerging privacy-enhancing technologies (PETs) like Multi-Party Computation (MPC), which...

Trust the System: Auditing Privacy- preserving Medical Data Analysis in a Distributed Manner

Recent developments in the capability and availability of small internet of things devices has meant that networked medical devices, like networked implants and wearable monitors, have become more widespread. This data is invaluable for solving pressing global healthcare concerns, like eectively monitoring and treating heart patients. The...

Blockchain-Based Verifiable and Privacy-Preserving Machine Learning Inference

The Machine Learning (ML) technology has taken the world by storm since it equipped the machines with previously unimaginable decision-making capabilities. However, building powerful ML models is not an easy task, but the demand for their utilization in different industries and areas of expertise is high. This was recognized by entities that...

Introducing Privacy-Enhancing Technologies to Consortium Blockchains

Blockchain technology has revolutionized the way data is stored, managed, and shared across various industries. Its decentralized nature and immutability make it highly attractive in use cases that require transparency, integrity, and accountability. However, some applications demand confidentiality, necessitating the development of permissioned...

Rethinking consumers' data sharing decisions with the emergence of multi-party computation: An experimental design for evaluation

Consumers are increasingly reluctant to share their personal data with businesses due to mounting concerns over privacy and control. Emerging privacy-enhancing technologies like multi-party computation (MPC), which allows generating insights while consumers retain data control, are challenging the current understanding of why consumers share...

It is not (only) about privacy: How multi-party computation redefines control, trust, and risk in data sharing

Firms are often reluctant to share data because of mistrust, concerns over control, and other risks. Multi-party computation (MPC) is a new technique to compute meaningful insights without having to transfer data. This paper investigates if MPC affects known antecedents for data sharing decisions: control, trust, and risks. Through 23...

The business value of privacy-preserving technologies: the case of multiparty computation in the telecom industry

Purpose: This paper aims to propose a framework for how privacy-preserving technologies (PETs) create business value for organizations. The framework was developed by examining the literature on privacy and information technology’s impact (symbolic and function). The authors evaluate the framework’s applicability using multiparty computation ...

Minimally-Interactive Protocols for Privacy-Preserving Set and Multiset Operations Between Multiple Parties

In our increasingly digital society, we are making a growing amount of data available to computers, networks and third parties. As a consequence, our sensitive data is in danger of getting exposed. The field of multi-party computation attempts to mitigate this by studying protocols that enable parties to perform their operations digitally,...

The adoption and diffusion of Privacy-Enhancing Technologies: The factors that drive and impede the adoption and diffusion of Privacy-Enhancing Technologies of private communication and data storage

Privacy and security are perceived as of great importance. However, readily available Privacy-Enhancing Technologies (PETs) and their development, innovation and standardization is not very forthcoming. Indeed, the dominant business model is privacy invasive: gathering and using private data as part of the business model to safeguard continuity....