Consumer identity theft prevention and identity fraud detection behaviours

This article critically analyses the provisions on identity theft and identity fraud in the Nigerian Cybercrime Act passed in 2015. The objective of the article is to provide answers to three pressing questions: What was the law on identity crimes before the Cybercrime Act? How has the law addressed the peculiar challenges of identity theft and identity fraud online? Are the provisions of the law adequate and if not how should the law otherwise respond? This article provides an in-depth legal analysis of the relevant provisions of the law and highlights the gaps in the law through comparative analysis with UK and US laws. While the article proposes amendments to make the Nigerian law more effective in combatting identity crime, it also invariably pushes for harmonisation and consistency in the approach of national laws to the crime.

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Fear of Online Consumer Identity Theft: Cross-Country Application and Short Scale Development

Information Systems Frontiers ◽

10.1007/s10796-019-09958-2 ◽

2019 ◽

Vol 21 (6) ◽

pp. 1251-1264 ◽

Cited By ~ 2

Author(s):

Gianfranco Walsh ◽

Edward Shiu ◽

Louise Hassan ◽

Patrick Hille ◽

Ikuo Takahashi

Keyword(s):

Scale Development ◽

Identity Theft ◽

Consumer Identity ◽

Short Scale ◽

Online Consumer ◽

Cross Country

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REGAP: A Tool for Unicode-Based Web Identity Fraud Detection

Journal of Digital Forensic Practice ◽

10.1080/15567280600995501 ◽

2006 ◽

Vol 1 (2) ◽

pp. 83-97 ◽

Cited By ~ 8

Author(s):

Anthony Y. Fu ◽

Xiaotie Deng ◽

Liu Wenyin

Keyword(s):

Fraud Detection ◽

Identity Fraud

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Communal Fraud Detection Algorithm for Establishing Identity Thefts in Online Shopping

International Journal of e-Collaboration ◽

10.4018/ijec.2021070105 ◽

2021 ◽

Vol 17 (3) ◽

pp. 75-84

Author(s):

Vaithyasubramanian S. ◽

Saravanan D. ◽

Kirubhashankar C. K.

Keyword(s):

Online Shopping ◽

Fraud Detection ◽

Identity Theft ◽

Detection Algorithm ◽

End Users ◽

Privacy And Security ◽

Effective Manner ◽

White List ◽

Progressive Growth ◽

One Time Password

In recent times, e-commerce sector is gaining popularity and expressing progressive growth. Due to increasing the demand of automation process and the reach of internet towards the end-users have poised this trust. In spite of the technology advancements, the privacy and security of e-commerce merchant as well as consumer data are constantly under threat. Identity theft, which is considered as more important security problems for end-users, is addressed by one time password generated instantly. This paper focuses on communal fraud detection algorithm for protecting identity theft in online shopping by creating a white list. Experimental results have proved white lists outperform one-time passwords in identity theft in a more effective manner.

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