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...

Towards Designing a Method to Create Sticky Information Security Training for SMEs: Identifying Design Factors

The risk of being impacted by a cyberattack is high, because of more professional attacks. Thereby, cyber criminals are bypassing technological countermeasures through tricking users. Recently collected data during the SARS-CoV-2 pandemic demonstrate, that cyberattacks including social engineering are among the main threats, especially for Small...

Business model implications of privacy-preserving technologies in data marketplaces: The case of multi-party computation

Privacy-preserving technologies could allow data marketplaces to deliver technical assurances to companies on data privacy and control. However, how such technologies change the business model of data marketplaces is not fully understood. This paper aims to bridge this gap by focusing on multi-party computation (MPC) as a cryptographic...