This paper proposes a peer-based solution for securing grassroots platforms against major faults using a social graph, identity and state custodians, and communicating volitional agents.

The paper proposes AgentDID, a decentralized framework using DIDs and verifiable credentials to provide trustless identity authentication and dynamic state verification for autonomous, self-managed AI…

The paper defines AI Identity as the correspondence between an agent's declared state and its observed behavior, concluding that current infrastructure and standards are fundamentally inadequate for g…

The paper proposes a portable authorization standard for autonomous agents, addressing the structural gaps in existing identity models when agents operate across organizational boundaries.

The paper proposes bPk#, a distributed architecture for pseudonyms that enhances privacy and availability in national eID systems by delegating pseudonym computation rights to users and service provid…

This paper introduces Proof-of-Continuity, a minimal authority-propagation discipline that ensures causal relationship between execution steps in Provenance Identity Continuity model.

The paper proposes COD-ssi, a novel framework that achieves mutual privacy in Self-Sovereign Identity (SSI) credential exchanges, ensuring that neither the Holder nor the Verifier can learn unnecessar…

The paper proposes and proves the security of a generic, full end-to-end credential revocation system for European Digital Identity Wallets, relying on a single server and secure channels.

The paper argues that traditional identity-based reputation mechanisms are structurally inapplicable to language model agents because their mutable, modular nature makes them ontologically dissociativ…

The paper analyzes the 'decentralisation paradox' in digital identity, arguing that user-centric designs merely redistribute central control rather than eliminating it, requiring a holistic approach b…

The paper proposes a comprehensive, dual-layer architectural framework for AI identification and traceability, ensuring continuous accountability and regulatory oversight throughout the entire lifecyc…

The paper proposes a RADIUS-based framework to maintain persistent device identity for Network Access Control (NAC) despite modern operating system MAC address randomization, ensuring regulatory compl…

This paper introduces 'implicit identity' as a unifying framework to survey and categorize LLM fingerprinting and watermarking techniques for verifying ownership and provenance across datasets, models…

The paper introduces the Agent Name Service (ANS), a DNS-inspired trust layer implemented in Kubernetes, to provide secure discovery, identity, and governance for autonomous AI agents.

This paper introduces the Machine Identity Governance Taxonomy (MIGT), a comprehensive framework designed to govern the rapidly expanding and currently ungoverned machine identities used by AI systems…

The paper introduces AIP, a novel protocol using Invocation-Bound Capability Tokens (IBCTs) to provide verifiable identity and secure delegation across Model Context Protocol (MCP) and Agent-to-Agent…

This paper proposes using homoglyphic substitution, replacing characters with visually similar alternatives, as a method to degrade and prevent the extraction of personal information via adversarial s…

The paper proposes a privacy-preserving system for crowd monitoring that counts individuals across different locations and time periods using face recognition without ever revealing personal identitie…

The paper proves that standard account-based ledgers cannot non-custodially enforce asset disposition, and introduces a novel commitment-based ledger structure, the 'envelope,' that achieves this capa…

This paper investigates privacy risks associated with credential disclosure in the upcoming EU Digital Identity Wallet, demonstrating that users tend to overshare information, and proposes a Credentia…