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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Management Level Security in E-Commerce and Biometric Technology

Authors: Iqrar Ahmad;

Management Level Security in E-Commerce and Biometric Technology

Abstract

ABSTRACT It is clear that electronic commerce will revolutionize businesses, and customers will be offered new and exciting services. As E-commerce businesses are growing, more secure technologies are being developed and improved every day. The current internet security polices and technologies fail to meet the needs of end users. Enterprises must provide secure services for their customers in e-commerce. There are some threats that should consider in this area. Providing secure services is so extensive and difficult, using the appropriate techniques can facilitate implementing. Here we try to introduce a management level security and biometric technology in e-commerce which includes security standards and protocols. In this paper, it is highlights how biometric technology is beneficial for management level security in e-commerce. Keywords – biometric technology; e-commerce security; e-commerce protocols

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Keywords

biometric technology; e-commerce security; e-commerce protocols

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green