Security & Privacy

Noosphere AI is architected from the ground up to prioritize data sovereignty and resilience against attacks. This section details our multi-layered approach to protecting users and their knowledge assets.

9.1 Encryption & Data Ownership

• End-to-End Encryption (E2E):

• All user data (notes, mind maps, annotations) is encrypted client-side using AES-256 before being stored on IPFS.

• Private keys are held exclusively by users (via Web3 wallets or secure key management like Shamir’s Secret Sharing).

• Zero-Knowledge Proofs (ZKPs):

• Contributors can validate data integrity (e.g., proving a fact is correctly sourced) without revealing raw content.

• Used in governance to vote pseudonymously (e.g., Tornado Cash integration for $NOS staking).

9.2 Decentralized Storage & Access Control

• IPFS + Filecoin:

• Knowledge graphs are fragmented and distributed across nodes to prevent single-point failures.

• Content-addressed hashing ensures tamper-proof data.

• Granular Permissions:

• Users define access tiers (e.g., public, private, or NFT-gated for monetized content).

• Multi-signature approvals required for sensitive sub-graph edits (e.g., enterprise research teams).

9.3 AI Privacy Measures

• Federated Learning:

• AI models (e.g., Llama 3 fine-tunes) train locally on user devices—no centralized data pooling.

• Only model updates (not raw data) are aggregated via secure multi-party computation (sMPC).

• Differential Privacy:

• Noise injection ensures queries to public knowledge graphs cannot reverse-engineer individual contributions.

9.4 Smart Contract & Protocol Security

• Audits:

• Quarterly audits by firms like Halborn and CertiK, focusing on:

• ZK-circuit validity (e.g., zk-SNARKs for anonymous voting).

• Smart contract vulnerabilities (e.g., reentrancy attacks in $NOS staking).

• Full reports published on GitHub.

• Bug Bounty Program:

• Tiered rewards up to $100,000 for critical exploits (e.g., private key leakage vectors).

• Submission portal via Immunefi.

9.5 Threat Mitigation Strategies

Threat Vector	Noosphere’s Countermeasure
Sybil Attacks	Proof-of-Stake + reputation-weighted governance.
Data Breaches	Client-side encryption; no central server to compromise.
51% Attacks	Hybrid consensus (PoS + DKG validation nodes).
AI Model Poisoning	Federated learning with outlier detection.

9.6 Compliance & Transparency

• GDPR/CCPA Ready:

• Users can delete data permanently via IPFS pinning revocation.

• No logs of IP addresses or metadata (using mixnets like Nym).

• Transparency Reports:

• Biannual disclosures on governance actions, data requests (if any), and protocol upgrades.