A Blockchain-Enabled Optimized Crypto Table-Based Key Generation Framework with Anonymous Reputation and Smart Contract-Driven Security In Private Ethereum Syed Usman Basha, Brintha Rajakumari S 2025 4th International Conference on Smart Technologies and Systems for Next Generation Computing Icstsn 2025, 2025 In modern decentralized environments, ensuring robust security, privacy, and trust remains a critical challenge, particularly in private blockchain ecosystems. This study proposes a Blockchain-Enabled Optimized Crypto Table-Based Key Generation Framework that integrates an anonymous reputation system and smart contract-driven security within a private Ethereum network. Existing key generation mechanisms are vulnerable to brute-force attacks, frequency analysis, and centralized trust failures, while existing blockchain-based solutions often suffer from computational overhead and lack of anonymity. To address these issues, the proposed approach employs an optimized crypto table-based key generation algorithm enhanced by metaheuristic optimization for faster and stronger cryptographic key creation. A reputation-based trust model preserves participant anonymity while deterring malicious behaviour, and smart contracts enforce secure, automated access control and transaction validation. The framework is deployed on a private Ethereum testbed, ensuring high throughput, low latency, and tamper-proof auditability. Experimental results demonstrate a 38% improvement in key generation speed, a 29% increase in resistance to brute-force attacks, and enhanced trust metrics compared to baseline models, with minimal performance degradation. This work establishes a secure, privacy-preserving, and performance-optimized blockchain architecture for sensitive and enterprise-grade applications.
