Projekter pr. år
Projektdetaljer
Beskrivelse
We will investigate how to combine secure multiparty computation and blockchain techniques to obtain more efficient privacy-preserving computation with accountability. Privacy-preserving computation with accountability
allows computation on private data (without compromising data privacy),
while obtaining an audit trail that allows third parties to verify that the computation succeeded or to identify bad actors who tried to cheat.
Applications include data analysis (e.g. in the context of discrimination detection and bench marking) and fraud detection (e.g. in the financial and insurance industries).
allows computation on private data (without compromising data privacy),
while obtaining an audit trail that allows third parties to verify that the computation succeeded or to identify bad actors who tried to cheat.
Applications include data analysis (e.g. in the context of discrimination detection and bench marking) and fraud detection (e.g. in the financial and insurance industries).
Nøgleresultater
The main results of this project were the following: 1. A systematisation of knowledge (SoK) describing how different state-of-the-art privacy enhancing technologies (PETs) can be used in the traditional and decentralised financial sector, including applications to anti money laundering (AML) and Know Your Client (KYC) as well as applications to financial markets where privacy is a concern; 2. a new cryptographic primitive for auditing financial transactions in both traditional and decentralised (e.g. blockchain-based) financial systems in such a way that an auditor learns nothing but whether a given sequence of transactions has a accumulated a risk rating higher than a certain threshold or exceeded a given threshold of fund movements.
Kort titel | DIREC P29 |
---|---|
Akronym | DIREC |
Status | Igangværende |
Effektiv start/slut dato | 01/03/2022 → 30/09/2025 |
Samarbejdspartnere
- IT-Universitetet i København (leder)
- Aarhus Universitet (Projektpartner)
- Alexandra Instituttet A/S (Projektpartner)
Finansiering
- Innovation Fund Denmark (IFD): 337.560,00 kr.
Emneord
- Multiparty Computation
- MPC
- Blockchain
- Privacy
- Accountability
- AML
- KYC
- Finance
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Projekter
- 1 Igangværende
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DIREC: Digital Research Centre Denmark
Godskesen, J. C. (PI), Barkhuus, L. (PI), Bonnet, P. (PI), Brabrand, C. (PI), Schürmann, C. (PI), Sekara, V. (PI), David, B. M. (PI), Husfeldt, T. (PI), Curticapean, R.-C. (PI), Limaye, N. (PI), Aumüller, M. (PI), Jacob, R. (PI), Risi, S. (PI), Wasowski, A. (PI), Birch Okkels, C. (CoI), Berthelsen, K. H. (CoI), Larsen, M. K. (CoI), Schmidt, M. D. (CoI) & Ghaffari, M. (CoI)
01/10/2020 → 30/09/2025
Projekter: Projekt › Forskning