Design and implementation of multimodal digital identity management system using fingerprint matching and face recognition

Agbinya, Johnson I.; Mastali, Nazia; Islam, Rumana; Phiri, Jackson

doi:10.1109/ib2com.2011.6217932

Cited by 7 publications

(6 citation statements)

References 24 publications

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“…The objective of information security is to ensure data confidentiality, integrity and availability at any given point including during data entry, processing, storage and transmission (Kabuya et al, 2012). This process cannot be overlooked due to the fact that technology has become a critical component of business operations in every organization (Agbinya et al, 2011;Mwanza and Phiri, 2016). Today Zambia's public organizations are reliant on technological infrastructure for handling, processing and transmission of all the business data and its related activities (Hunker and Probst, 2010;Chinyemba and Phiri, 2018a).…”

Section: Introductionmentioning

confidence: 99%

An Investigation into Information Security Threats from Insiders and how to Mitigate them: A Case Study of Zambian Public Sector

Chinyemba¹,

Phiri²

2018

Journal of Computer Science

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Insider attacks are security breaches posed by an existing or former organizational stakeholder with unrestricted access rights to the resources who, with or without intent, compromises the confidentiality, integrity and availability of organizational data. Zambian public organizations are vulnerable to insider attacks due to a number of factors that include; technology complexity, understaffing, financial gains, lack of security policies and procedures, lack of adoption and implementation of international security frameworks and standards such as ISO 27000 and COBIT. Insider threats can be categorized into three dimensions namely; Information Technology (IT) Sabotage, Financial Fraud and Intellectual Property (IP) theft. This paper reports the results from three targeted public organizations in Zambia. These are among the few that seem to recognised cyber threats and have partially adopted some parts of security base practices and international information security standards such as COBIT 5.0 and ISO 27001 standard. The study aimed at assessing the security GAPs using ISO 27001:2013 Information Security Management System (ISMS) standard. The study approach used was quantitative and qualitative with survey questionnaires and interviews as assessment tools for empirical data collection. The study shows that Zambian public sector has related challenges in mitigation of insider attacks that calls for considered efforts in developing measures for mitigation of these challenges in order to ensure national cyber security readiness and enhancing data privacy. The study reviewed that majority of the organizations assessed lack insider security deterring policies such as access control, non-disclosure agreements (NDA), pre-employment screening and unacceptable use. Additionally, the findings indicated that majority of public organizations have not made any efforts towards cyber security readiness, while only about 33% have adopted some security base practices. Further, using Actor Network Theory (ANT) and Theory of Planned Behavior (TPB), the study proposed an expedient insider mitigation model with an emphasis on user awareness and access control considering that it is difficult to model human behavior.

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Section: Introductionmentioning

confidence: 99%

An Investigation into Information Security Threats from Insiders and how to Mitigate them: A Case Study of Zambian Public Sector

Chinyemba¹,

Phiri²

2018

Journal of Computer Science

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“…The rapid development of information and communication networks by governments, colleges, enterprises and individuals means that they are employing more and more information systems without clear distinctions of the persons and devices behind their use [1]. It is obvious that the need for identity that would provide complete privacy is vital [1]. It has been established that cybercrime has become one of the fastest growing crimes in the world [2].…”

Section: A Adverse Effects Of Internetmentioning

confidence: 99%

Identity Attributes Metric Modelling based on Mathematical Distance Metrics Models

Kabwe¹,

Phiri²

2020

IJACSA

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Internet has brought a lot of security challenges on the interaction, activities, and transactions that occur online. These include pervasion of privacy of individuals, organizations, and other online actors. Relationships in real life get affected by online mischievous actors with intent to misrepresent or ruin the characters of innocent people, leading to damaged relationships. Proliferation of cybercrime has threatened the value and benefits of internet. Identity theft by fraudsters with intent to steal assets in real space or online has escalated. This study has developed a metrics model based on distance metrics in order to quantify the credential identity attributes used in online services and activities. This is to help address the digital identity challenges, bring confidence to online activities and ownership of assets. The application forms and identity tokens used in the various sectors to identify online users were used as the sources of the identity attributes in this paper. The corpus toolkits were used to mine and extract the identity attributes from the various forms of identity tokens. Term weighting schemes were used to compute the term weight of the identity attributes. Other methods used included Shannon Entropy and the Term Frequency-Inverse Document Frequency scheme (TF*IDF). Standardization of data using data normalization method has been applied. The results show that using the Cosine Similarity Measure, we can identify the identity attributes in any given identity token used to identify individuals and entities. This will help to attach the legitimate ownership to the digital identity attributes. The developed model can be used to uniquely identify an online identity claimant and help address the security challenge in identity management systems. The proposed model can also identify the key identity attributes that could be used to identify an entity in real or cyber spaces.

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“…Johnson I Agbinya et. al attempted definition of digital identity with multimodal biometrics involving face and fingerprint traits along with other user attributes in digital IMS [11].…”

Section: Related Workmentioning

confidence: 99%

Integrated Framework for Anonymous Biometric Key Based Identity Management System

Suresh*¹,

Radhika²

2019

IJRTE

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Implementation of measures to ensure security of transactions while ensuring privacy of user credentials is an area of challenge in digital transactions over a network. Integration of biometric pattern matching into an identity management system (IMS) enhances security of transactions and improves ease of use. Privacy of users in a biometric based system is improved by using keys generated directly from feature sets instead of conventional stored templates. This paper proposes a framework for integrating biometric key based authentication into an IMS.The generated keys need to be long, reproducible with high integrity and need to possess sufficient entropy. Generation of keys directly from feature traits poses a challenge due to intra and inter user variations inherent to biometric data. A novel methodology for generating and integrating crytpo keys into an identity management system is proposed. The keys have been extracted from iris trait. 300 bits keys have been extracted from iris datasets. The results are promising and can be extended to multi-modal biometric feature sets.

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Design and implementation of multimodal digital identity management system using fingerprint matching and face recognition

Cited by 7 publications

References 24 publications

An Investigation into Information Security Threats from Insiders and how to Mitigate them: A Case Study of Zambian Public Sector

An Investigation into Information Security Threats from Insiders and how to Mitigate them: A Case Study of Zambian Public Sector

Identity Attributes Metric Modelling based on Mathematical Distance Metrics Models

Integrated Framework for Anonymous Biometric Key Based Identity Management System

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