Blockchain Malicious Peer Detection via Hash Verification
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Solution Overview
Problem
Centralized databases face issues such as single points of failure, dependency on network connectivity, limited access, and data redundancy, leading to potential data loss and system bottlenecks, necessitating a solution for enhanced reliability and accessibility.
Innovation Solution
A blockchain network is employed, featuring a decentralized storage system with multiple nodes that communicate to maintain a distributed ledger, allowing for consensus-based validation and immutability of data, thereby detecting malicious peers and preventing chain forks through cryptographic hashing and endorsement protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a centralized database is used, then ease of management and control is improved, but reliability deteriorates due to single point of failure
Solution Approach 1:
The patent divides the centralized database into multiple distributed nodes across a blockchain network. Each node maintains a copy of the ledger, eliminating the single point of failure while preserving management capabilities through consensus protocols.
Solution Approach 2:
The patent creates multiple identical copies of the database ledger distributed across numerous nodes. These copies ensure that if one node fails, the data remains accessible and intact on other nodes, thereby improving reliability while maintaining centralized-like consistency through consensus mechanisms.
2Quantity of substance
If a centralized database is used, then data redundancy is minimized, but loss of information worsens due to limited access and single location storage
Solution Approach 1:
The patent segments the database into distributed copies across multiple nodes. Each node holds a complete or partial copy of the ledger, creating controlled redundancy that prevents data loss while maintaining data integrity through cryptographic hashing and consensus validation.
Solution Approach 2:
The patent changes the parameter of data storage from centralized single-location to distributed multi-location. This transformation creates redundancy as a protective measure, where multiple copies ensure data availability and prevent information loss even when some nodes fail or are compromised.
3Productivity
If a centralized database is used, then network dependency is reduced, but productivity deteriorates due to bottlenecks at single location
Solution Approach 1:
The patent segments the database processing workload across multiple distributed nodes. Each node can independently process transactions and validate blocks, eliminating the bottleneck at a single location and increasing overall system throughput while reducing access time through parallel processing.
4Reliability
If a centralized database is used, then access control is simplified, but reliability worsens due to vulnerability to malicious activities
Solution Approach 1:
The patent implements feedback mechanisms through consensus protocols where nodes continuously verify each other's operations. This distributed verification system detects and prevents malicious activities by requiring majority agreement, thereby improving security while managing complexity through standardized protocol rules.
Data Source
AI summary
An example operation may include one or more of receiving, by each of one or more peripheral peers of a blockchain network, a new block from an orderer peer, calculating a hash of the new block, determining the calculated hash is different than hashes from a majority of peripheral peers, determining that one or more blocks that correspond to the different hashes from the majority of peripheral peers are different from the new block, and in response ceasing committing blocks to the blockchain network.