Intellectual Property India Publishes Patent Application for Adaptive Cryptographic Surface Engineering - System And Method For Continuous Cryptographic Mutation Of Observable Security Surfaces In Computer Networks

MUMBAI, India, June 26 -- Intellectual Property India has published a patent application (202641070690 A) filed by Arul Raj on June 06, 2026, for Adaptive Cryptographic Surface Engineering - System And Method For Continuous Cryptographic Mutation Of Observable Security Surfaces In Computer Networks.

Inventor includes Arul Raj.

The application for the patent was published on June 19, 2026, under issue no. 25/2026.

Abstract: ABSTRACT OF INVENTION ====================================================================== PART 11 — Abstract A hardware- implemented framework — Adaptive Cryptographic Surface Engineering (ACSE) — and its reference implementation, the Polymorphic Mutation Engine (PME) with ASMP/1.0 protocol, for continuously mutating the cryptographic fingerprint of any observable security surface in computing infrastructure. The invention executes a 4- phase atomic mutation cycle (snapshot, mutate, validate, commit/rollback) entirely within Trusted Execution Environment hardware (Intel SGX, AWS Nitro, AMD SEV-SNP, ARM CCA), producing TEE-attested SHA3-chained audit records verifiable against hardware manufacturer certificate chains. Ten domain-specific bio- inspired mutation profiles address distinct domains: financial transactions (SquidShield), healthcare compliance (GlassFrog), multi-domain networks (KrakenNet), cooperative cloud enclaves (ChameleonNet), elastic infrastructure (JellyNet), API security (AnglerShield), intrusion response (MantisNet), layered data protection (NautilusVault), distributed meshes (LeviathanGrid), and data centre infrastructure (ElectricEelGrid). The ASMP/1.0 network protocol, with formally verified security properties (ProVerif: ZK-property TRUE, cascade authentication TRUE, TEE attestation TRUE), coordinates estate-wide simultaneous rotation across all nodes in 200 microseconds. Statistical unlinkability is demonstrated across 9,000 adversary observations: linkability score L = 0.535 for all profiles (theoretical random floor: 0.510). The implementation comprises 716 passing automated tests, 0 unsafe Rust code blocks, and produces two deployment binaries (alert-bridge, pme-console) cross- compiled for Linux and Windows.

Disclaimer: Curated by HT Syndication.