The proof-of-work distributed computing schemes, including Bitcoin, frequently use cryptographic hashes as a proof-of-work algorithm. Hashrate is a measure of the total computational power of all participating nodes expressed in units of hash calculations per second. The hash/second units are small, so usually multiples are used, for large networks the preferred unit is terahash (1 trillion hashes), for example, in 2023 the Bitcoin hashrate was about 300,000,000 terahashes per second[1] (that is 300 exahashes or hash calculations every second).
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Impact on network security
A higher hashrate signifies a stronger and more secure blockchain network. Increased computational power dedicated to mining operations acts as a defense mechanism, making it more challenging for malicious entities to disrupt network operations. It serves as a barrier against potential attacks, particularly the significant concern of a 51% attack.[2]
Mining difficulty
Mining difficulty, intrinsically connected to hashrate, indicates the challenge miners face in producing a hash lower than the target hash. It is purposefully designed to adjust periodically, ensuring a consistent addition of blocks to the blockchain.
Hashrate and miner participation
An increase in the miner count results in higher hashrate. This surge is often driven by the attractiveness of potential returns due to the escalated demand for cryptocurrencies, such as Bitcoin or Ethereum.[3]
References
- ^ King, Dale & Amigó 2024, p. 4.
- ^ Clark, Lindsay. "DARPA study finds blockchain not as decentralised as assumed". www.theregister.com. Retrieved 2023-11-06.
- ^ Orland, Kyle (2022-09-16). "The end of Ethereum mining could be a bonanza for GPU shoppers". Ars Technica. Retrieved 2023-11-06.
Sources
- de Vries, Alex; Gallersdörfer, Ulrich; Klaaßen, Lena; Stoll, Christian (2022). "Revisiting Bitcoin's carbon footprint". Joule. 6 (3): 498–502. doi:10.1016/j.joule.2022.02.005.
- King, Juan C.; Dale, Roberto; Amigó, José M. (2024). "Blockchain metrics and indicators in cryptocurrency trading". Chaos, Solitons & Fractals. 178: 114305. arXiv:2403.00770. Bibcode:2024CSF...17814305K. doi:10.1016/j.chaos.2023.114305.
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This page was last edited on 16 April 2024, at 02:01