Aegis Protocol

Aegis is a distributed computing framework that integrates Byzantine fault-tolerant consensus, secure multiparty aggregation, differential privacy, and blockchain-based auditability into a unified architecture. The system is designed to achieve trust, privacy, and verifiability without relying on central authorities. The framework introduces Local Audit Chains, which allow every node to maintain a verifiable log of its operations while preserving privacy. A hybrid consensus protocol combines stake and reputation mechanisms with adaptive timeouts to ensure safety and liveness under partial synchrony. Differential privacy is applied at the data aggregation layer using adaptive budgeting and Laplace or Gaussian noise mechanisms. Formal verification using the Z3 solver is used to prove core safety and liveness properties. Experiments demonstrate sub-second consensus latency and high audit integrity across a network of distributed nodes. Aegis provides a foundation for secure, privacy-preserving, and self-auditing distributed systems suitable for modern decentralized infrastructure.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-30
DOI
https://doi.org/10.5281/zenodo.18098828
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
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article

Aegis Protocol

Mradul Umrao
Zenodo (CERN European Organization for Nuclear Research)
Distributed systems and fault tolerance
article

Aegis Protocol

Mradul Umrao
article en

Abstract

Aegis is a distributed computing framework that integrates Byzantine fault-tolerant consensus, secure multiparty aggregation, differential privacy, and blockchain-based auditability into a unified architecture. The system is designed to achieve trust, privacy, and verifiability without relying on central authorities. The framework introduces Local Audit Chains, which allow every node to maintain a verifiable log of its operations while preserving privacy. A hybrid consensus protocol combines stake and reputation mechanisms with adaptive timeouts to ensure safety and liveness under partial synchrony. Differential privacy is applied at the data aggregation layer using adaptive budgeting and Laplace or Gaussian noise mechanisms. Formal verification using the Z3 solver is used to prove core safety and liveness properties. Experiments demonstrate sub-second consensus latency and high audit integrity across a network of distributed nodes. Aegis provides a foundation for secure, privacy-preserving, and self-auditing distributed systems suitable for modern decentralized infrastructure.

Zenodo (CERN European Organization for Nuclear Research)
Rama University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 32%
Distributed systems and fault tolerance
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Aegis Protocol — Mradul Umrao · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS