all InfoSec news
All for one and one for all: Fully decentralised privacy-preserving dark pool trading using multi-party computation
July 15, 2022, 1:18 p.m. |
IACR News www.iacr.org
ePrint Report: All for one and one for all: Fully decentralised privacy-preserving dark pool trading using multi-party computation
Mariana Botelho da Gama, John Cartlidge, Nigel P. Smart, Younes Talibi Alaoui
Financial dark pool trading venues are designed to keep pre-trade order information secret so that it cannot be misused by others. However, dark pools are vulnerable to an operator misusing the information in their system. Prior work has used MPC to tackle this problem by assuming that the dark pool …
More from www.iacr.org / IACR News
Updatable Policy-Compliant Signatures
21 hours ago |
www.iacr.org
Guess and Determine Analysis Based on Set Split
21 hours ago |
www.iacr.org
Real-Valued Somewhat-Pseudorandom Unitaries
2 days, 1 hour ago |
www.iacr.org
Jobs in InfoSec / Cybersecurity
Cybersecurity Skills Challenge -- Sponsored by DoD
@ Correlation One | United States
Security Operations Center (SOC) Analyst
@ GK Cybersecurity Group | Remote
Azure Security Architect
@ First Quality | Remote US - Eastern or Central Timezone
Threat Intelligence Analyst
@ Atos | Remote Home, HOME (England & Wales), GB, Remote Hom
Alternance (F/H) Hardening, migration cloud et containerisation d'un application windows
@ Alstom | Villeurbanne, FR
Security Specialist / Analist (CIT)
@ Lely | Maassluis, Netherlands