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Encrypted Model Context Layer (EMCL)

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Bala edited this page Jul 31, 2025 · 1 revision

== Encrypted Model Context Layer (EMCL) ==

''Created by: Balachandar Manikandan''

=== 1. Lead Section ===
'''Encrypted Model Context Layer (EMCL)''' is a cryptographic protocol developed by Balachandar Manikandan to secure communication between artificial intelligence (AI) agents, tools, and models. As an extension of the Model Context Protocol (MCP), EMCL provides end-to-end encryption, digital signatures, and identity propagation to ensure data integrity and confidentiality in distributed AI systems.

=== 2. Background and Motivation ===
The rise of distributed AI systems—especially those involving large language models (LLMs), micro-agents, and AI orchestration layers—has created a demand for secure, verifiable, and tamper-resistant communication. EMCL was introduced to address vulnerabilities in existing protocols such as JSON-RPC and gRPC, which often lack built-in encryption or trust management. EMCL enhances MCP by adding cryptographic guarantees, making it suitable for high-stakes domains such as healthcare, finance, and defense.

=== 3. Architecture ===
==== 3.1 Protocol Layers ====

  • '''Application Layer''': Typically MCP or similar JSON-RPC systems

  • '''Security Layer''': EMCL – encryption, signature, identity token

  • '''Transport Layer''': HTTPS, gRPC, WebSocket, etc.

==== 3.2 Packet Structure ====

=== 4. Core Features ===

  • AES-GCM encrypted parameters

  • HMAC or RSA signed payloads

  • JWT-based agent identity

  • Replay protection using nonce and timestamp

  • Optional audit trail and message verification hooks

=== 5. Use Cases ===

  • Encrypted communication in healthcare AI applications

  • Secure prompt injection prevention in LLM-based pipelines

  • Federated agent orchestration in privacy-critical systems

  • Encrypted input/output between LangChain tools and vector databases

=== 6. Implementation ===

  • '''Server SDK''': .NET Core (NuGet)

  • '''Client SDK''': TypeScript/Node.js (NPM)

  • '''Key Management''': Local PEM, Azure Key Vault, AWS KMS

  • '''Deployment''': Docker image for EMCL Gateway (WIP)

=== 7. Comparison with Other Protocols ===
{| class="wikitable"

! Feature !! EMCL !! JSON-RPC !! OAuth2 !! gRPC

Payload Encryption

Signature Support

Identity Token

Replay Protection }

=== 8. Security Considerations ===

  • Key rotation using keyId

  • Token validation with expiration and claims

  • Payload integrity and tamper detection

  • HMAC with nonce to prevent replay attacks

  • Audit trail integration for traceability

=== 9. Adoption and Ecosystem ===
EMCL is used in AI infrastructure projects including:

  • Chronos-Hermes AI orchestration pipelines

  • Healthcare LLM deployments with secure EMCL wrappers

  • Encrypted LangChain tool chains

  • Telegram bots using secure EMCL communication

=== 10. See Also ===

=== 11. References ===

=== 12. External Links ===

''This protocol was developed and maintained by Balachandar Manikandan.''

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