The nonce is randomly generated when a block is created, which then generates a block header hash. A transparent ledger of changes preserves integrity of the document, which creates trust in the asset. We've rounded up 37 interesting examples of US-based companies using blockchain. Berenberg, a German bank, believes that blockchain is an "overhyped technology" that has had a large number of "proofs of concept", but still has major challenges, and very few success stories. For example, bitcoin uses a proof-of-work system, where the chain with the most cumulative proof-of-work is considered the valid one by the network.
Fresh thinking in blockchain, AI and IoT for supply chain Learn how Golden State Foods is using the immutability of blockchain to trace goods through its supply chain and help ensure food quality. Orphan blocks are valid blocks that are rejected from the blockchain because network lag allowed another block to be accepted first. In the late 1990s, cypherpunk Nick Szabo proposed using a blockchain to secure a digital payments system, known as bit gold .
How Does Blockchain Work And Remain Secure?
R4 could add R1 to the mod_policy such that R1 would be able to manage change of the network policy too. A network administrator from organization R1 or R4 has added a new consortium definition, X2, which includes organizations R2 and R3. If a peer needs to communicate with a peer in another organization, then it can use one of theanchor peers defined in the channel configuration for that organization. An organization can have zero or more anchor peers defined for it, and an anchor peer can help with many different cross-organization communication scenarios. In Hyperledger Fabric, while all peers are the same, they can assume multiple roles depending on how the network is configured.
- Every page of the book is identified by a unique page number called a "hash," and the first entry on each page is the "hash" of the previous page.
- Namecoin was dropped by OpenNIC in 2019, due to malware and potential other legal issues.
- An attacker would have to regenerate the hash of every invalid block.
Examples of this type of deployment in the wild include the Open Music Initiative for musicians and R3 for financial institutions. In a decentralized scenario, data privacy will need additional care. For example, a financial institution client might only want to give read permissions to its data on an as-needed basis to other consortium members. The verification methods to ensure data integrity can slow down the querying and general performance of a blockchain.Databases provide blazing-fast access to the data. Data can only be read or added to the blockchain.Data can be created, read, updated, or deleted . Given this new urgency, it’s worth taking a close look at the underpinnings of resilience and how they could be applied in any industry.
It is this link that makes it impossible for any of the information to be altered or for a block to be inserted between two existing blocks. In order to do so all following blocks would need to be edited too. As a result, each block strengthens the previous block and the security of the entire blockchain because it means more blocks would need to be changed to tamper with any information.
How Are Blocks Added To The Blockchain?
It’s because everyone is used to trusting other parties to safeguard their information. In the block, it will store who is participating in the blockchain transaction. However, instead of using your real name, you will get a theleadbtc.org unique theleadbtc.org “digital key” as your username. Blockchain/ DLT are the building block of “internet of value,” and enable recording of interactions and transfer “value” peer-to-peer, without a need for a centrally coordinating entity.
Payments and transfers can take place between countries without high fees. Because blockchain solves many issues of privacy and security, its use is increasing where data security is a concern. According to Forbes, blockchain is making a hero entry in the food industry as it makes it easy to track the path and safety of food, right from its journey from the farm to the buyer/user. IBM’s Food Trust blockchain is one of the most successful implementations of blockchain in the food industry. A few companies that have integrated blockchain in their functioning are Walmart, Pfizer, AIG, Siemens, Unilever, etc. Blockchain has made its way into many industries due to its host of benefits and ease of use and accessibility.
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"