Blockchain for Identity Theft Prevention in Digital AI Applications
DOI:
https://doi.org/10.63345/sjaibt.v2.i1.107Keywords:
Blockchain, Self-Sovereign Identity, Decentralized Identifiers, Verifiable Credentials, Selective Disclosure, OpenID4VC, Zero Trust, C2PAAbstract
Escalating identity theft—fueled by large‐scale data breaches, AI-assisted social engineering, and deepfakes—undermines trust in digital systems and especially in AI-driven applications where automated agents transact, personalize content, and make consequential decisions. This manuscript proposes a standards-aligned, privacy-preserving reference architecture that uses blockchain to anchor decentralized identifiers (DIDs), verifiable credentials (VCs), selective-disclosure cryptography, and revocation registries; combines device-bound, phishing-resistant authentication (passkeys); and integrates content provenance signals for AI outputs. We synthesize the state of the art (W3C DID/VC, OpenID4VCI/OpenID4VP, ISO/IEC 18013-5 mDL, C2PA, NIST SP 800-63 and 800-207, ENISA), then present a methodology—BC-Guard—for securing AI user and agent identity life cycles: enrollment, authentication, authorization, transaction attestation, and post-event audit
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