Biometrics, device metrics and pseudo metrics in a multifactor authentication with artificial intelligence

Phiri, Jackson; Zhao, Tiejun; Agbinya, Johnson I.

doi:10.1109/ib2com.2011.6217912

Cited by 9 publications

(22 citation statements)

References 22 publications

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“…There is more work on the multifactor authentication [7,8] and finally we note there is some preliminary work that discusses the idea of an authentication middleware [9], which more closely relates to one of the key themes of this paper.…”

Section: Related Workmentioning

confidence: 97%

“…A further study on multifactor authentication using a personal identity number, a mobile phone device, and biometrics as the three factors is presented in [8]. Finally, the idea of an authentication middleware as an intervening component to multiple authentication techniques is proposed in [9].…”

Section: Related Workmentioning

confidence: 99%

“…Before performing the funds transfer, the banking application makes a request for additional authentication of this particular type of transaction (8). The authentication server analyses the funds transfer request for potential fraud and risk (9) and depending on the assessment will dynamically choose the additional authentication factor to be applied.…”

Section: Authentication Component Interactionmentioning

confidence: 99%

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Unified framework for multifactor authentication

Pavlovski

Warwar

Paskin

et al. 2015

2015 22nd International Conference on Telecommunications (ICT)

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The progression towards the use of mobile network devices in all facets of personal, business and leisure activity has created new threats to users and challenges to the industry to preserve security and privacy. Whilst mobility provides a means for interacting with others and accessing content in an easy and malleable way, these devices are increasingly being targeted by malicious parties in a variety of attacks. In addition, web technologies and applications are supplying more function and capability that attracts users to social media sites, e-shopping malls, and for managing finances (banking). The primary mechanism for authentication still employs a username and password based approach. This is often extended with additional (multifactor) authentication tools such as one time identifiers, hardware tokens, and biometrics. In this paper we discuss the threats, risks and challenges with user authentication and present the techniques to counter these problems with several patterns and approaches. We then outline a framework for supplying these authentication capabilities to the industry based on a unified authentication hub.

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Section: Related Workmentioning

confidence: 97%

Section: Related Workmentioning

confidence: 99%

Section: Authentication Component Interactionmentioning

confidence: 99%

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Unified framework for multifactor authentication

Pavlovski

Warwar

Paskin

et al. 2015

2015 22nd International Conference on Telecommunications (ICT)

View full text Add to dashboard Cite

show abstract

“…It is argued that, [29] the issues to manage the identifiers and their corresponding credentials has become a difficult responsibility. The authors in [30] proposed an identity model to facilitate management of online identities [29] [14].…”

Section: Related Workmentioning

confidence: 99%

“…According to [14], government agencies, the military, corporations, financial institutions, hospitals, and other groups collect, process, and store a great deal of confidential information on computers and transmit that data across networks to other computers. With the growing volume and sophistication of cyberattacks, ongoing attention is required to protect sensitive business and personal information, as well as safeguard national security.…”

Section: Introductionmentioning

confidence: 99%

An Energy Efficient Cluster-Head Formation and Medium Access Technique in Multi-Hop Wban

Saha¹,

Anvekar²

2018

IJCT

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Identification and verification have always been at the heart of financial services and payments, which is even more the case in the digital age. So, while banks have long been trusted to keep money safe, is there a new role for them as stewards of digital identity? Governments should, in consultation with the private sector, develop a national identity strategy based on a federated-style model in which public and private sector identity providers would compete to supply trusted digital identities to individuals and businesses. Back then, when the world seemed smaller, slower and more local, physical identity documents were adequate for face-to-face transactions. However, the Internet changed everything. It shrank distances, created new business models and generally sped everything up. From the innovation lifecycle to access to information, processes and the clock-speed on risk, the Internet has accelerated everything. The use of Internet in doing business has grown over the years in Africa and Zambia in particular. As such, the incidences of online identity theft have grown too. Identity theft is becoming a prevalent and increasing problem in Zambia. An identity thief only requires certain identity information to decimate a victim's life and credit. This research proposes to identify and extract various forms of identity attributes from various sources used in the physical and cyberspace to identity users accessing the financial services through extracting identity attributes from the various forms of identity credentials and application forms. Finally, design a digital identity model based on Shannon's Information theory and Euclidean metric based Euclidean Distance Geometry (EDG) to be used for quantifying, implementation and validating of extracted identity attributes from various forms of identity credentials and application forms, in an effective way.

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AI-enabled digital identity – inputs for stakeholders and policymakers

Mir

Kar

Gupta

2021

JSTPM

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Purpose This conceptual article’s primary aim is to identify the significant stakeholders of the digital identity system (DIS) and then highlight the impact of artificial intelligence (AI) on each of the identified stakeholders. It also recommends vital points that could be considered by policymakers while developing technology-related policies for effective DIS. Design/methodology/approach This article uses stakeholder methodology and design theory (DT) as a primary theoretical lens along with the innovation diffusion theory (IDT) as a sub-theory. This article is based on the analysis of existing literature that mainly comprises academic literature, official reports, white papers and publicly available domain experts’ interviews. Findings The study identified six significant stakeholders, i.e. government, citizens, infrastructure providers, identity providers (IdP), judiciary and relying parties (RPs) of the DIS from the secondary data. Also, the role of IdP becomes insignificant in the context of AI-enabled digital identity systems (AIeDIS). The findings depict that AIeDIS can positively impact the DIS stakeholders by solving a range of problems such as identity theft, unauthorised access and credential misuse, and will also open a possibility of new ways to empower all the stakeholders. Research limitations/implications The study is based on secondary data and has considered DIS stakeholders from a generic perspective. Incorporating expert opinion and empirical validation of the hypothesis could derive more specific and context-aware insights. Practical implications The study could facilitate stakeholders to enrich further their understanding and significance of developing sustainable and future-ready DIS by highlighting the impact of AI on the digital identity ecosystem. Originality/value To the best of the authors’ knowledge, this article is the first of its kind that has used stakeholder theory, DT and IDT to explain the design and developmental phenomenon of AIeDIS. A list of six significant stakeholders of DIS, i.e. government, citizens, infrastructure providers, IdP, judiciary and RP, is identified through comprehensive literature analysis.

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Biometrics, device metrics and pseudo metrics in a multifactor authentication with artificial intelligence

Cited by 9 publications

References 22 publications

Unified framework for multifactor authentication

Unified framework for multifactor authentication

An Energy Efficient Cluster-Head Formation and Medium Access Technique in Multi-Hop Wban

AI-enabled digital identity – inputs for stakeholders and policymakers

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