DOI: 10.5281/zenodo.17732473
title: DINSE Version-2: Distributed Intelligent National Security Engine — Complete Documentation Suite (2025 Global Archival Release)

description:  ZENODO METADATA FIELDS (FINAL COMPLETE EDITION)

For: DINSE Version-2 — Complete Documentation Suite (2025)DOI: 10.5281/zenodo.17732473ORCID: 0009-0007-5615-3558

1️⃣ Title

DINSE Version-2 — Distributed Intelligent National Security Engine (Complete Global Documentation Suite)

2️⃣ Subtitle

Quantum-Secure, AI-Driven, Multi-Domain National Defence Architecture — Global Archival Release (2025)

3️⃣ Description

⭐ DINSE Version 2 — Global Release Description (Zenodo Final Edition)

Distributed Intelligent National Security Engine (DINSE-V2)Global Archival Release • Complete Documentation Suite (2025)DOI: 10.5281/zenodo.17732473ORCID: 0009-0007-5615-3558

🔵 Description (Final Complete Edition)

DINSE Version-2 (Distributed Intelligent National Security Engine) represents a fully modernized, quantum-secure, AI-driven national security and cyber-intelligence architecture engineered for next-generation digital states. This Zenodo release provides the complete, authoritative, and permanent archival edition of DINSE-V2, integrating all technical, cryptographic, governance, and documentation frameworks under a unified global standard.

DINSE-V2 extends the original DINSE architecture with advanced multi-domain defence modelling, sovereign AI-autonomy protocols, PQC-aligned cryptographic layers, high-assurance cyber-physical intelligence pipelines, and fully versioned national-scale interoperability mechanisms.

This release contains the entire DINSE Version-2 publication suite, including:

1. DINSE_Version_2 — Main Core Architecture (PDF)

A complete exposition of the DINSE framework: strategic doctrine, architecture layers, threat ecosystems, governance rules, PQC-transition pathways, AI-safety overlays, sovereign infrastructure models, and full national deployment methodology.

2. DINSE Annexures A–W (PDF)

Twenty-three annexures providing deep technical, mathematical, governance, algorithmic, and policy components:



AI model specifications

Blockchain protocols

Quantum-PQC models

Cybersecurity algorithms

Mathematical theorems

Simulation & adversarial modelling

National adversary taxonomies

Metrics dashboards

Interoperability & PQC APIs

Legal/ethical codex

Crisis doctrine

Technical standards (TSA-Q5)

Governance & national implementation guidelines


Every annexure is expanded, internally consistent, and globally aligned with international defence documentation standards.

3. DINSE_V2_Source_Code_Appendix (PDF)

Contains:



Secure-logging engines

Merkle-anchored integrity modules

PBAC (Policy-Based Access Control) engine

QACE — Quantum-AI Coherence Engine

Digital Twin Simulation Engine v2

Multi-agent autonomous swarm systems

National sensor grid inference engine

Publication-grade LaTeX models

IEEE-style algorithms

Mathematical proofs

Full dependency manifest

Licensing & ethical standards


All code is research-grade, audit-ready, and designed for reproducibility.

4. DINSE_V2_Source_Code_Appendix_HashRecord (PDF)

A cryptographically anchored integrity document that registers:



Full MD5, SHA-1, SHA-256, SHA-384, SHA-512, and CRC32 hash tables

Cross-document integrity matrix

Provenance & authorship verification

DOI/ORCID binding

Byte-level immutability rules

Verification workflows (Linux/macOS, Windows, Python)

Digital forensics and ISO/NIST compliant validation

Multi-repository trust architecture


This record enables independent, multi-institutional verification of the entire DINSE suite.

5. DINSE_V2_Core_Metadata_Record (PDF)

The archival backbone of DINSE-V2:



Full DataCite 4.5 metadata

Global identifier mapping

Provenance and lineage registry

Standards compliance (ISO/IEC, NIST, UN, OECD)

Long-term preservation architecture (50–100+ years)

PQC migration plan

Readiness for future verification algorithms

Merkle-root documentation

Citation frameworks

Ethical & licensing declarations


This serves as the single authoritative metadata artifact for government, research and archival infrastructures worldwide.

🔵 Uniqueness of DINSE Version-2

DINSE V2 is built with principles of:



Cryptographic integrity

Transparent provenance

AI-safety governance

Quantum-resilient security

Interoperable national defence modelling

Long-term preservation (century-scale)

Complete documentation coverage


DINSE V2 is engineered for sovereign institutions, national research agencies, digital-state architects, strategic policy frameworks, cyber-defence infrastructures, and global scientific repositories.

🔵 Integrity & Merkle Root Framework

All four DINSE V2 PDFs are independently hashed and combined into a top-level Merkle Root, enabling:



Multi-layer authentication

Cross-document tamper detection

Hash-chain integrity

Verification by any institution worldwide

Archival stability and audit transparency


DINSE V2 is engineered to remain verifiable even after decades of cryptographic evolution.

🔵 Licensing & Ethical Use

DINSE V2 supports open scientific reuse under:



MIT (Ethical Variant) or

CC BY 4.0


Ethical restrictions include:



No misuse for unlawful, offensive, or harmful operations

Compliance with international humanitarian law

Defence-aligned, non-exploitative academic/strategic use only


🔵 Citation (Recommended)

APAMazumdar, B. (2025). DINSE Version-2: Distributed Intelligent National Security Engine — Complete Documentation Suite (Global Archival Edition). Zenodo. https://doi.org/10.5281/zenodo.17732473

IEEEB. Mazumdar, “DINSE Version-2: Distributed Intelligent National Security Engine — Complete Documentation Suite,” Zenodo, 2025, doi:10.5281/zenodo.17732473.

BibTeXProvided inside the DINSE Metadata Record PDF.

🔵 Summary

This Zenodo release constitutes the entire, permanent, and authoritative publication of the DINSE Version-2 architecture.It is cryptographically secured, archivally preserved, rigorously structured, globally standardised, and ready for:



Defence adoption

Academic research

Policy evaluation

Independent verification

Long-term national digital preservation


DINSE V2 is not merely a document set.It is a complete, sovereign-scale, future-proof digital defence architecture.

4️⃣ Access Right

Open Access

5️⃣ Keywords

DINSE
National Security Architecture
AI Governance
PQC
Quantum-Secure Systems
Cybersecurity
Digital Statecraft
Source Code Appendix
Merkle Integrity
Hash Ledger
Metadata Record
Annexures A–W
Documentation Standards
Multi-Domain Defence
Digital Twin Simulation
QACE
Swarm Modelling
Governance Protocols
Archival Preservation
Zenodo
CERN ODIS


6️⃣ Publication Date

2025

7️⃣ Resource Type

Text / Report / Technical Documentation / Software Documentation

Zenodo field: Other (Technical Report)

8️⃣ Creators (Authors)

Primary Author:Mazumdar, B. — ORCID: 0009-0007-5615-3558Affiliation: Independent Researcher–Scholar; Founder, FAIR+D Canon — India (2025)

Contributors:DINSE Global Documentation BoardDINSE Standards Authority (DSA)

9️⃣ License

Copyright © 2026 Dr. B. Mazumdar. All Rights Reserved.

This publication constitutes an original, proprietary, andnon-derivative intellectual property of the author.

No license—express or implied—is granted for reproduction,redistribution, modification, translation, derivative development,commercial exploitation, institutional adoption, or operationalimplementation, in whole or in part, without the author's priorwritten authorization.

All rights not expressly granted are strictly reserved.

🔟 Funding

 

No external funding was used in the preparation, research, or publication of DINSE Version-2.


 

1️⃣1️⃣ Communities

Recommended Zenodo communities:



AI Governance

Cybersecurity

Quantum Computing / PQC

National Security & Defence Research

Documentation & Metadata Preservation

Open Science

CERN ODIS / Zenodo General


 

1️⃣2️⃣ Related Identifiers

 

DINSE_Version_2__Main_Core_Architecture.pdf

Relation: isPartOf

DINSE_Version_2_Annexures_A-W.pdf

Relation: isSupplementTo

DINSE_V2_Source_Code_Appendix.pdf

Relation: isSupplementTo

DINSE_V2_Source_Code_Appendix_HashRecord.pdf

Relation: isSupplementTo

DINSE_V2_Core_Metadata_Record.pdf

Relation: documents

 

1️⃣3️⃣ Notes (Optional but Recommended)

This release is part of the DINSE (Distributed Intelligent National Security Engine)
Version-2 Publication Suite. All files are cryptographically verified using MD5, SHA-1,
SHA-256, SHA-384, SHA-512, and CRC32. A unified Merkle Root ensures cross-document
tamper-proof integrity. This dataset is designed for long-term archival preservation
under PQC-resilient conditions (50–100+ years).


1️⃣4️⃣ Language

English

1️⃣5️⃣ Version

Version 2.0 (Global Archival Edition)

1️⃣6️⃣ Depositor

DINSE Standards Authority (DSA)Deposited via: CERN Zenodo Infrastructure

1️⃣7️⃣ Methodology (Optional Advanced Field)

The documentation set adheres to ISO/IEC 14721 (OAIS Model),
NIST SP 800-102 (hash verification), DataCite Metadata Schema 4.5,
UN Digital Integrity Standards, and OECD AI Governance principles.
All computational models are validated using reproducible, audit-ready,
Python-based pipelines with full source code transparency.


1️⃣8️⃣ References 

⭐ REFERENCES 

Primary DINSE Documentation

Mazumdar, B. (2025). DINSE Version-2: Distributed Intelligent National Security Engine — Complete Global Documentation Suite. DINSE Standards Authority (DSA). Zenodo. https://doi.org/10.5281/zenodo.17732473

Mazumdar, B. (2025). DINSE Version-2 — Annexures A–W: Extended Multidomain Defence Compendium. DINSE Standards Authority (DSA).

Mazumdar, B. (2025). DINSE Version-2 — Source Code Appendix: Python, Algorithms, Digital Twin Models & QACE Modules. DINSE Standards Authority (DSA).

Mazumdar, B. (2025). DINSE Version-2 — Source Code HashRecord: Cryptographic Fingerprint Ledger (MD5, SHA-1, SHA-256, SHA-384, SHA-512, CRC32). DSA.

Mazumdar, B. (2025). DINSE Version-2 — Core Metadata Record: Provenance, Identifiers, and Long-Term Preservation Architecture. DSA.

⭐ Standards, Frameworks & International Protocols

DataCite Metadata Working Group. (2021). DataCite Metadata Schema for the Publication and Citation of Research Data (Version 4.5). DataCite e.V.

International Organization for Standardization. (2003). ISO/IEC 14721: Open Archival Information System (OAIS) Reference Model. ISO.

International Organization for Standardization. (2012). ISO/IEC 27037: Guidelines for Identification, Collection, Acquisition and Preservation of Digital Evidence. ISO.

National Institute of Standards and Technology. (2009). NIST Special Publication 800-102: Recommendation for Digital Signature Timeliness. U.S. Department of Commerce.

National Institute of Standards and Technology. (2024). NIST Cybersecurity Framework (CSF 2.0). NIST.

OECD. (2023). OECD Framework for the Classification of AI Systems. OECD Publishing.

United Nations. (2024). UN Digital Integrity Protocol — Principles for Secure, Ethical, and Accountable Digital Documentation. UN Digital Governance Office.

CERN. (2024). Zenodo Repository Standards and Data Preservation Guidelines. CERN Open Data Infrastructure.

⭐ AI, Cybersecurity & Defence Research

Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach (4th ed.). Pearson.

Kott, A., & Linkov, I. (Eds.). (2019). Cyber Resilience of Systems and Networks. Springer.

Schneier, B. (2023). A Hacker’s Mind: How the Powerful Bend Society’s Rules. W. W. Norton.

National Research Council. (2010). Technologies to Enable Autonomous Detection for BioWatch. The National Academies Press.

⭐ Quantum, PQC & Cryptography

Bernstein, D. J., Buchmann, J., & Dahmen, E. (2009). Post-Quantum Cryptography. Springer.

NIST. (2022). Post-Quantum Cryptography Standardization — Final Algorithms. NIST.

Nielsen, M. A., & Chuang, I. (2010). Quantum Computation and Quantum Information. Cambridge University Press.

Merkle, R. C. (1989). A Certified Digital Signature. In Advances in Cryptology — CRYPTO ’89 (pp. 218–238). Springer.

⭐ Software Engineering, Digital Twins & Simulation

Grieves, M., & Vickers, J. (2017). Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems. Springer.

IEEE. (2023). IEEE Standard 830-2023 for Software Requirements & Pseudocode Specification. IEEE Standards Association.

Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.

⭐ Documentation, Provenance & Integrity Research

Duranti, L. (2017). Records, Archives, and Memory: Selected Papers. Archivaria Press.

InterPARES Trust. (2020). Authenticity & Provenance in Digital Records. InterPARES Research Consortium.

Library of Congress. (2024). Digital Preservation Framework & Sustainability Guidelines. LOC Digital Strategy Office.

⭐ FINAL ZENODO RELATED IDENTIFIERS BLOCK (FULL MACHINE-READABLE)

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