Data

Parkes observations for project P1161 semester 2022OCTS_06

Commonwealth Scientific and Industrial Research Organisation
Hobbs, George ; Dawson, Joanne ; Oslowski, Stefan ; Dai, Shi ; Zic, Andrew ; Camtepe, Seyit ; Mandow, Rami
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/wpnr-cs60&rft.title=Parkes observations for project P1161 semester 2022OCTS_06&rft.identifier=https://doi.org/10.25919/wpnr-cs60&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=Randomness is the basis of security, privacy, trust and fairness. Cryptographic methods become vulnerable if the underlying randomness is weak or could be biased by the users of the system. Numerous applications rely on “Publicly verifiable randomness” (PVR), where randomness is extracted from a publicly accessible process or object, the output of which can be verified by third parties. With this proposal we wish to determine which pulsars would be most suitable if we wish to produce PVR through observations of pulsars.&rft.creator=Hobbs, George &rft.creator=Dawson, Joanne &rft.creator=Oslowski, Stefan &rft.creator=Dai, Shi &rft.creator=Zic, Andrew &rft.creator=Camtepe, Seyit &rft.creator=Mandow, Rami &rft.date=2024&rft.edition=v1&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2023.&rft_subject=pulsars&rft_subject=neutron stars&rft_subject=Astronomical sciences not elsewhere classified&rft_subject=Astronomical sciences&rft_subject=PHYSICAL SCIENCES&rft.type=dataset&rft.language=English Access the data
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Creative Commons Attribution 4.0 International Licence
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Data is accessible online and may be reused in accordance with licence conditions

All Rights (including copyright) CSIRO 2023.

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Randomness is the basis of security, privacy, trust and fairness. Cryptographic methods become vulnerable if the underlying randomness is weak or could be biased by the users of the system. Numerous applications rely on “Publicly verifiable randomness” (PVR), where randomness is extracted from a publicly accessible process or object, the output of which can be verified by third parties. With this proposal we wish to determine which pulsars would be most suitable if we wish to produce PVR through observations of pulsars.

Available: 2024-04-05

Data time period: 2022-10-01 to 2024-03-31

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Subjects
Astronomical Sciences | Astronomical Sciences Not Elsewhere Classified | Physical Sciences | neutron stars | pulsars |

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Identifiers
ACN 633 798 857