Integration of Quantum Computing and Blockchain Technology: A Cryptographic Perspective
Srivastava, Tanya; Bhushan, Bharat; Bhatt, Saurabh; Haque, A. K. M. Bahalul (2022-04-05)
Post-print / Final draft
Srivastava, Tanya
Bhushan, Bharat
Bhatt, Saurabh
Haque, A. K. M. Bahalul
05.04.2022
Springer
School of Engineering Science
Kaikki oikeudet pidätetään.
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe2022040627360
https://urn.fi/URN:NBN:fi-fe2022040627360
Tiivistelmä
Blockchain is a computational data structure that provides open and distributed and decentralized public ledger technology that has many promising applications. Blockchain applies block structure linked with each other to store and verify data and provides trustworthy consensus mechanism for the synchronization of changes in data which results in a tamperproof digital platform. Blockchain has many approaches for security services which includes integrity assurance, confidentiality, resource provenance and access control list. Blockchain is an emerging technology and believed to be employed in diverse interactive system of the Internet. The goal of this paper is to give a detailed overview on the blockchain technology such as its background, architecture and properties. Further, it describes the quantum-level vulnerabilities of different popular blockchains in-use and the different cryptographic concepts that are used in blockchain, and then it highlights the concept of quantum computing along with blockchain technology. In the end, it gives an insight of pre-quantum to post-quantum blockchain.
Lähdeviite
Srivastava, T., Bhushan, B., Bhatt, S., Haque, A.K.M.B. (2022). Integration of Quantum Computing and Blockchain Technology: A Cryptographic Perspective. In: Kumar, R., Sharma, R., Pattnaik, P.K. (eds) Multimedia Technologies in the Internet of Things Environment, Volume 3. Studies in Big Data, vol 108. Springer, Singapore. DOI: 10.1007/978-981-19-0924-5_12
Kokoelmat
- Tieteelliset julkaisut [1492]