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2023-08-04 19:48:08

devstr on Nostr: W. Dai, "b-money," 1998: This reference pertains to Wei Dai's b-money, an early ...

W. Dai, "b-money," 1998: This reference pertains to Wei Dai's b-money, an early proposal for an anonymous, distributed electronic cash system. While it was never implemented, it is widely recognized as a precursor to Bitcoin.

H. Massias, X.S. Avila, and J.-J. Quisquater, "Design of a secure timestamping service with minimal trust requirements," 1999: This reference discusses a design for a secure timestamping service that requires minimal trust, thus improving security and reliability in systems where the integrity and chronological order of data is essential.

S. Haber, W.S. Stornetta, "How to time-stamp a digital document," 1991: This paper describes a method for timestamping digital documents to ensure data integrity and provide a secure and reliable method of verifying when a document was created or last modified.

D. Bayer, S. Haber, W.S. Stornetta, "Improving the efficiency and reliability of digital time-stamping," 1993: This paper builds upon the previously mentioned method, focusing on enhancing the efficiency and reliability of digital time-stamping.

S. Haber, W.S. Stornetta, "Secure names for bit-strings," 1997: This paper presents a method for securing names for bit-strings, contributing to enhancing security in computer and communications.

A. Back, "Hashcash - a denial of service counter-measure," 2002: This reference covers Hashcash, a proof-of-work system designed by Adam Back as a counter-measure against email spam and denial-of-service attacks. It became an important part of the mechanism used in Bitcoin mining.

R.C. Merkle, "Protocols for public key cryptosystems," 1980: This reference presents protocols for public key cryptosystems, a fundamental component in modern cryptographic systems, and includes discussions on Merkle trees.

W. Feller, "An introduction to probability theory and its applications," 1957: This classic text provides a comprehensive introduction to probability theory and its applications, which is an important theoretical basis for a variety of areas in computer science, including cryptography, machine learning, and algorithm design.
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