Analytical Entropy Approach for Measuring Blockchain Immutability and Tamper-Resilient Trust
Lanlan Li, Charles Z. Liu, Sanjeeb Shrestha · 2026
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Description
Entropy, the mathematics of uncertainty, can grade how tamper-proof a blockchain really is, propose Lanlan Li and co-authors in a 2026 theoretical study. They model ledger states as probability distributions and track Shannon entropy on-chain, off-chain, and inside the virtual machines that run smart contracts.
Simulations showed on-chain entropy decaying almost exponentially as honest consensus piles up, while off-chain entropy stayed flat, exposing the weakness of conventional storage. The team also argues the virtual machine's computation entropy mirrors arbitrary Turing machines. Their framework is pitched as a practical instrument for watching ledger integrity, spotting tampering, and sizing up protocol resilience under attack.
Catalog record
| CREATOR | Lanlan Li, Charles Z. Liu, Sanjeeb Shrestha |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 85456 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |