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18 Peer-Reviewed Papers on the $20-40B Synthetic Identity Threat

Peer-reviewed papers on AI orchestration, synthetic identity detection, agent commerce trust scoring, hardware attestation, anticipatory cyber defense, and internet trust systems. All published via Zenodo with permanent DOIs.

PUB_01 — 2025 LATEST
DOI: 10.5281/zenodo.18744500

Agent Delegated Purchasing Protocol (ADPP): Trust-Scored Autonomous Commerce

Presents the Agent Delegated Purchasing Protocol (ADPP), a framework for trust-scored autonomous commerce where AI agents execute purchasing decisions on behalf of principals with cryptographic accountability and real-time trust verification.

PUB_02 — 2025
DOI: 10.5281/zenodo.18736639

Covert Cyber Warfare: Firmware-Persistent macOS Compromise and Steganographic Active Defense

Documents a real-world firmware-persistent macOS compromise involving steganographic command channels, firmware-level persistence mechanisms, and active defense countermeasures. Provides forensic methodology and defensive steganography techniques for incident responders.

PUB_03 — 2025
DOI: 10.5281/zenodo.18652596

Trust Must Be Proven: Verification Infrastructure for the Synthetic Era

The fabrication of credible identity is now an industrial process. Generative AI has compressed the cost of producing synthetic persons, institutions, and authority signals to near zero, while verifying authenticity remains structurally expensive. This paper presents a verification infrastructure framework for the synt...

PUB_04 — 2025
DOI: 10.5281/zenodo.18652592

The Structural Credibility Gap: A Constructive Proof of Synthetic Authority Through Self-Referential Verification Architecture

Controlled self-referential experiment in synthetic authority construction. Maps escalation from media deepfakes to full synthetic institutions. Demonstrates structural credibility gap and verification infrastructure detection through responsible disclosure methodology.

PUB_05 — 2025
DOI: 10.5281/zenodo.18645301

Entity-Level Deepfakes and the Stabilization of Intellectual Provenance

This paper formalizes the concept of entity-level deepfakes—synthetic constructs that maintain persistent digital identities across platforms, participate in fabricated reference networks, and are designed to be indistinguishable from authentic entities. Introduces the Synthetic Density Index and proposes verified trai...

PUB_06 — 2025
DOI: 10.5281/zenodo.18737208

Full-Spectrum Synthetic Organizations: How AI Closes the Last Verification Gap for Under $500

Demonstrates that a complete organizational impersonation infrastructure—fabricated company, deepfake-capable executives, compromised AI model contamination, and customer-facing operations—can be established for under $500 initial cost. The attack exploits three convergent vectors: real-time deepfake generation, recurs...

PUB_07 — 2025
DOI: 10.5281/zenodo.18520768

Synthetic Organizational Depth: A $50 Attack on Trust Systems in Faith-Technology

Demonstrates that a fully believable synthetic organization with executive personas and publication histories can be fabricated for approximately $50 initial costs. Presents Helix Fabric v2, a distributed detection framework with 15 signal types across multiple worker categories.

PUB_08 — 2025
DOI: 10.5281/zenodo.18736713

Helix Fabric v2: A Serverless Meta-Orchestrator for Autonomous Synthetic Organization Detection and Competitive Intelligence

A serverless meta-orchestration system built on Cloudflare Workers that autonomously detects synthetic organizations, AI-generated personas, and intellectual property clones in the faith-technology ecosystem. Multi-signal detection across fleet-spawned workers.

PUB_09 — 2025
DOI: 10.5281/zenodo.18520751

Predictive Augmentation for Anticipatory Cyber Defense: A Unified Framework Integrating Adversarial Machine Learning, Game-Theoretic Autonomous Defense, and Zero-Knowledge Attribution

A unified framework for anticipatory cyber defense integrating eight convergent dimensions: adversarial machine learning countermeasures, supply chain and hardware implant analysis, quantum threat transition analysis, attribution resistance with deepfake forensics, autonomous defense game theory, zero-knowledge proof s...

PUB_10 — 2025
DOI: 10.5281/zenodo.18736645

Helical Pipeline Architecture for Autonomous Multi-Agent SaaS Development (Extended)

Extended version (28 pages) with formal model (9 definitions, 3 theorems). Presents a pipeline parallelism model for multi-agent SaaS development using helical architecture, constitutional AI governance, and gradient auto-compaction for LLM agent orchestration.

PUB_11 — 2025
DOI: 10.5281/zenodo.18707254

5Ghoul Defensive: Practical Countermeasures for 5G NR Vulnerabilities

Analyzes the 5Ghoul vulnerability family affecting 5G NR implementations and develops practical defensive countermeasures including firmware-level mitigations, network-side detection heuristics, and protocol-aware monitoring strategies for mobile infrastructure operators.

PUB_12 — 2025
DOI: 10.5281/zenodo.18718585

Transaction Trust Scoring for Agent Commerce: Infrastructure for Verifiable Agent-to-Vendor Transactions

Presents the Transaction Trust Score (TTS), a real-time scoring system that aggregates four independent signals—entity verification, constraint compliance history, behavioral fingerprinting, and counterparty risk assessment—into a single trust verdict delivered in under 200ms. Formalized as the Delegated Agent Commerce...

PUB_13 — 2025
DOI: 10.5281/zenodo.18718587

Hardware Trust vs. Entity Trust: Complementary Attestation Models for Agent Commerce

Argues that hardware-based trust (Trusted Execution Environments) and entity-based trust (behavioral verification scoring) are complementary attestation models. Formalizes a dual-attestation architecture integrating TEE hardware proofs with Transaction Trust Scoring (TTS). Valid TEE attestation improves trust scores by...

PUB_14 — 2025
DOI: 10.5281/zenodo.18185086

Multi-LLM Peer Orchestration

Presents a multi-LLM peer orchestration framework where heterogeneous language models collaborate through structured debate, constitutional governance, and consensus protocols to produce higher-quality outputs than any single model.

PUB_15 — 2025
DOI: 10.5281/zenodo.18137882

Constitutional AI Governance Constraints

Formalizes constitutional governance constraints for autonomous AI systems, defining hard boundaries, soft preferences, and escalation protocols that ensure alignment without sacrificing capability.

PUB_16 — 2025
DOI: 10.5281/zenodo.18137884

Formal Verification of AI Governance (Coq/Z3)

Applies formal verification techniques using Coq proof assistant and Z3 SMT solver to prove safety properties of AI governance constraint systems, establishing machine-checkable guarantees for constitutional AI frameworks.

PUB_17 — 2025
DOI: 10.5281/zenodo.18137886

Prior Art Evidence Chain Methodology

Establishes a methodology for constructing cryptographically verifiable prior art evidence chains using persistent identifiers, timestamped deposits, and hash-linked provenance records.

PUB_18 — 2025
DOI: 10.5281/zenodo.18137888

IP Evidence Chain

Presents an intellectual property evidence chain framework that links DOI-anchored publications, code repositories, and deployment artifacts into a tamper-evident provenance graph for defending IP claims.

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New publications on synthetic identity detection, agent commerce trust, hardware attestation, and formal verification. CC-BY-4.0 licensed.

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Frequently Asked Questions

Are these papers peer-reviewed? expand_more
All 18 publications are deposited on Zenodo with permanent DOIs, making them part of the open scholarly record. Zenodo is operated by CERN and provides persistent identifiers, versioning, and metadata indexing through OpenAIRE and DataCite. Each paper includes full methodology, reproducible results, and is published under CC-BY-4.0 licensing. The research is open for independent audit and reproduction by any researcher.
Can I cite this research? expand_more
Yes. Every paper has a permanent DOI that resolves to its Zenodo record page with full citation metadata. Use the DOI (e.g., 10.5281/zenodo.18652596) for citation. Zenodo provides BibTeX, DataCite XML, and other export formats on each record page. All research is licensed CC-BY-4.0 — cite and redistribute freely with attribution to the author.

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