Immutable Security Protocol.

"Byzantine Fault Tolerance mechanisms protecting the Neural Registry from state vector attacks and epistemic censorship."

I. Threat Architecture and Epistemic Protection

A centralized scientific registry represents a single point of failure. It is susceptible to distributed denial-of-service (DDoS) sabotage, state-sponsored redaction of inconvenient research, and internal database tampering. The Neural Review Security Protocol nullifies these adversarial vectors via decentralized synchronization.

II. 14-Node Sovereign Mirror Consensus

All ratified journal outputs, encompassing PDF structures, raw data IPFS hashes, and reviewer identity commits, are continuously replicated across 14 independent sovereign server clusters.

These nodes span diverse geopolitical domains (inclusive of EU-C1, AU-E1, and AS-S2 proxies). To alter the registry, an active adversary would need to execute a Byzantine Sybil attack compromising a 51% consensus of the nodes simultaneously within a 400-millisecond heartbeat sync window—a mathematically infeasible proposition under current computational constraints.

III. Cryptographic Envelope Encryption

During the Triple-Masked Peer Audit, raw manuscript data exists in a highly vulnerable state. To protect ongoing double-blind reviews from exfiltration attacks or premature de-anonymization:

  1. All data-in-transit is protected via TLS 1.3 and encoded with AES-GCM 256-bit wrappers.
  2. The author's true identity vectors are locked within a cryptographic envelope utilizing RSA-4096 asymmetric key pairs. The private decoding key is fractured, split among the designated Handling Node and the core consensus orchestrator, forbidding single-actor decryption without multi-signature authorization.
  3. Should an endpoint alert fire regarding irregular mass-scraping attempts, the system automatically shunts traffic to our secondary "Dark Node" failovers, collapsing the attack vector before any underlying metadata can be queried.