CHAPTER 13
Chapter 13
Trusted Data Collaboration, Decentralized Identity, and Privacy-Preserving Computation
With device identity and trusted data as the thread, connects DID, blockchain, supply-chain traceability, and privacy-preserving computation — how trust is built across organizations.
Where this chapter sits: this chapter addresses one conditional question only: when devices, data, and models cross multiple organizations that do not fully trust one another, how can each party independently verify identity, records, and authorization? For a single-enterprise, single-trust-domain system, the PKI, authorization, auditing, backups, and tamper-evident logs of Chapter 8 are usually simpler and more efficient. Do not introduce a ledger, DID, or federated learning merely to appear "advanced." Continue with this chapter only when multiple parties must write or verify, no party should hold exclusive adjudication power, and the audit value exceeds the cost of consensus and governance. This chapter treats DID, verifiable credentials, on-chain digests, and privacy-preserving computation as candidate tools. It emphasizes entry conditions and failure boundaries, does not claim that IoT DC3 builds them in, and does not make any ledger the default answer.