Threshold Cryptography Secures Decentralized Location and Query Privacy
New dual-protection framework uses threshold cryptography and token incentives to guarantee provable privacy and timely collaboration in decentralized services.
In-Memory Processing Revolutionizes Private Information Retrieval Efficiency and Scalability
IM-PIR leverages Processing-in-Memory to overcome PIR's memory-bound limitations, significantly boosting query throughput.
Publicly Verifiable PIR Enhances Data Privacy with Provable Integrity for Blockchains
This work introduces publicly verifiable private information retrieval, allowing any party to confirm data integrity without compromising query privacy, crucial for transparent decentralized systems.
PVPIR with Function Secret Sharing Ensures Auditable, Private Data Access
New FSS-based protocols enable publicly verifiable private information retrieval, allowing external auditing and robust data integrity in decentralized data access.
New PVPIR Protocols Ensure Data Privacy and Verifiable Integrity
Novel PVPIR protocols ensure data integrity verification without revealing queries, critical for transparent, private decentralized systems.
Publicly Verifiable PIR Protocols Enhance Data Integrity and Privacy for Multi-Party Systems
This research introduces publicly verifiable Private Information Retrieval, enabling external validation of query results without compromising data privacy or requiring secret keys.
Publicly Verifiable PIR: Private Queries with Public Result Integrity
This research introduces Publicly Verifiable Private Information Retrieval, enabling transparent, auditable private data queries in decentralized systems.
