Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)

Application Research of Online Transaction History Extraction System Based on Lucene

Authors
Hui Zhang1, *
1Nanning University, Nanning, Guangxi, China
*Corresponding author. Email: 1362757861@qq.com
Corresponding Author
Hui Zhang
Available Online 10 August 2023.
DOI
10.2991/978-94-6463-198-2_24How to use a DOI?
Keywords
Lucene; Online transaction; Computer forensics; History
Abstract

With the rapid growth of the Internet economy, online transaction fraud occurs frequently and the victims are all over the country, which brings great difficulties to the public security organs in investigating and handling cases. This paper analyzes the history files generated by computer in the process of online transactions, and designs a history extraction system using Lucene technology. Through this system, the files can be retrieved quickly and accurately, the transaction records stored in the computer can be extracted, and the computer crime can be helped.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
10 August 2023
ISBN
978-94-6463-198-2
ISSN
2589-4900
DOI
10.2991/978-94-6463-198-2_24How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Hui Zhang
PY  - 2023
DA  - 2023/08/10
TI  - Application Research of Online Transaction History Extraction System Based on Lucene
BT  - Proceedings of the 2nd International Academic Conference on Blockchain, Information Technology and Smart Finance (ICBIS 2023)
PB  - Atlantis Press
SP  - 209
EP  - 216
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-198-2_24
DO  - 10.2991/978-94-6463-198-2_24
ID  - Zhang2023
ER  -