🗺️AI Cross Matrix (ACM)
Building Cross-Chain Privacy Financial Infrastructure: The Tri-Architecture of Privacy Protocol
Abstract
AI Cross Matrix (ACM) is a cross-chain privacy protocol integrating Zero-Knowledge Proof (ZKP), ring signatures, and AI-driven path optimization. It addresses the traceability challenges in Web3 asset transfers. According to Chainalysis’ 2023 report, global on-chain privacy transaction demand reached $7.8 billion, yet existing solutions (e.g., Tornado Cash) suffer from compliance flaws and efficiency bottlenecks. ACM pioneers a tri-layer framework:
Decentralized Privacy Verification (ZKP Layer) • Anonymous Validation: Ensures transaction details (e.g., amount/address) remain concealed.
Dynamic Identity Obfuscation (Ring Signature Layer) • AI-Generated Mixing: Dynamically constructs ring signature groups to prevent identity tracing.
Intelligent Routing Optimization (AI Execution Layer) • Autonomous Adjustment: Splits transaction granularity, optimizes cross-chain paths/timing, and constructs unpredictable anonymity trajectories.
ACM will completely dismantle the tracing capabilities of on-chain analytics tools.
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