This research evaluates decentralized ledger architectures, showing how cryptography and game theory enhance system stability and reduce risks.
This research paper provides a comprehensive, rigorous evaluation of decentralized ledger architectures by analyzing the structural convergence of cryptographic primitives and game-theoretic mechanisms. Examining the blockchain from a layered, heterogeneous perspective (from the Application to the Consensus layers), the study explores how these technologies eliminate the need for centralized intermediaries to mitigate counterparty risk. Key areas of analysis include: Cryptographic Trade-offs: A technical comparative study of symmetric block ciphers (e.g., AES) for high-efficiency bulk data confidentiality versus asymmetric primitives (e.g., ECDSA) required for non-repudiation and transaction orderliness within the Semantic Layer. Game-Theoretic Network Stability: An evaluation of how decentralized networks structurally resolve the Byzantine Generals' Problem (BGP), leveraging Nash Equilibrium to transform a competitive, zero-sum environment into a cooperative state where protocol deviation becomes economically irrational. Real-World Implementations & Scalability: A review of systemic frictions—including propagation latency and state bloat—alongside modern engineering solutions like sharding, off-chain computation, and decentralized IoT telemetries (e.g., the layered IBM/Samsung ADEPT framework utilizing BitTorrent, Ethereum, and TeleHash). This paper bridges theoretical computational data science and practical blockchain systems engineering, offering critical architectural insights for researchers and developers working on the next generation of trustless networks.
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Samarth Maske (2026) studied this question.
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