Blockchain integrity refers to the assurance that data on a blockchain remains unaltered and consistent over time. This property is secured through cryptographic linking of blocks and a distributed consensus mechanism, preventing unauthorized modifications or fraudulent transactions. The immutability of recorded information is fundamental to the system’s reliability and trustless operation, verifying the authenticity of digital asset ownership and transaction histories.
Context
Discussions around blockchain integrity frequently surface in news concerning network security breaches or proposed protocol upgrades. Maintaining this integrity is paramount for regulatory acceptance and the sustained valuation of digital assets, as any compromise could undermine public confidence and market stability. Future developments focus on scaling solutions that preserve this core attribute while enhancing transaction throughput.
Researchers expose a critical flaw in Fiat-Shamir, enabling false proofs in widely used systems and demanding re-evaluation of blockchain security foundations.
Automated theorem proving rigorously validates blockchain consensus, establishing a new standard for protocol reliability and trust in distributed systems.
A novel collaborative mining mechanism enables Proof-of-Stake/BFT systems to resist long-range attacks, securing ledger integrity with enhanced efficiency.
This research validates large language models as potent verification oracles, simplifying complex smart contract auditing and bridging AI with formal methods.
This research establishes a foundational mathematical framework for Maximal Extractable Value, enabling rigorous analysis and provably secure defenses against economic exploitation.
This research introduces a formal, abstract model for Maximal Extractable Value, enabling systematic analysis and the development of provably secure blockchain protocols.
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