The Application Research of Computer Security Technology in E-commerce
- DOI
- 10.2991/978-94-6463-108-1_25How to use a DOI?
- Keywords
- E-commerce; Computer security technology; Feature code recognition technology
- Abstract
Aiming at many security problems existing in the current e-commerce transaction process, this paper will build an e-commerce security alarm system based on computer security technology, which integrates two application cores, virus detection and security prevention, under the Web application service architecture system. In the aspect of virus detection, the system will adopt Signature scanning model, Checksum calculation model and Software simulation to deal with the intrusion of various computer viruses into e-commerce system. As for security prevention, the system comprehensively uses Firewall, Digital signatures and Digital encryption to effectively avoid the harm caused by stealing private information, counterfeiting transaction information and malicious destruction of content. The system will help to improve the security of e-commerce trading environment and create better convenience for people’s life.
- Copyright
- © 2022 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 - Mei Zhao PY - 2022 DA - 2022/12/30 TI - The Application Research of Computer Security Technology in E-commerce BT - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022) PB - Atlantis Press SP - 219 EP - 226 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-108-1_25 DO - 10.2991/978-94-6463-108-1_25 ID - Zhao2022 ER -