Multiparty Execution Framework Cuts Server Load for Secure Data Access

Global: Multiparty Execution Framework Cuts Server Load for Secure Data Access

Background

In contemporary security environments, organizations frequently rely on access control lists to manage authentication and authorization, a practice that can increase server computation overhead and response latency.

Encryption Method

The proposed solution introduces an encryption layer based on an involution‑function‑based stream cipher, which processes file data before it is stored or transmitted, aiming to preserve confidentiality while reducing processing demands.

Key Distribution Strategy

To complement the encryption, the authors employ Shamir’s secret sharing scheme to split the symmetric key among multiple users; reconstruction of the key uses second‑order Lagrange interpolation on the hidden points, enabling authorized decryption without exposing the full key to any single party.

Performance Evaluation

The study measures encryption and decryption times, throughput, computational overhead, and conducts a security analysis. Results indicate a measurable reduction in server load and faster response times compared with traditional access‑control‑list approaches.

Future Directions

Researchers suggest extending the mechanism to support large‑scale, intra‑organizational data sharing, with additional testing planned to assess scalability and resilience under varied workloads.

Implications

If adopted broadly, the multiparty execution framework could influence the design of secure data services by offering a balance between confidentiality, authorization efficiency, and computational resource consumption.

This report is based on information from arXiv, licensed under See original source. Source attribution required.