Authentication of subjects and devices using biometrics and identity management systems for persuasive mobile computing: A survey paper

Mastali, Nazia; Agbinya, Johnson I.

doi:10.1109/ib2com.2010.5723618

Cited by 12 publications

(6 citation statements)

References 21 publications

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“…This technique is assumed to be better than authentication technologies such as passwords, PIN, or tokens that require people to remember multiple words and numbers but still vulnerable. Various biometric-based systems for remote user authentication have been suggested as summarized in [31][32][33] summarize a good representative selection.…”

Section: Combining Biometric Fingerprints As Additional Security Enhamentioning

confidence: 99%

Physical Security for Fleet Management Systems

2019

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Fleet Management (FM) deals with the management of transport, distribution, and logistics of national and international goods exchange, in which many operators worldwide are involved. Fleet management involves many security-relevant participating entities, such as vehicles, FM mobile clients, smart trackers with goods, drivers, etc. Existing automated fleet management systems are basically vulnerable to physical replacement attacks when managed by mass-produced electronic identities. Analog Physical Unclonable Functions (PUFs) failed to serve as unclonable electronic identities due to being costly, unstable and inefficient for such mass-usage. We propose in this paper to deploy the Secret Unknown Ciphers (SUCs) techniques introduced a decade ago as digital low-cost clone-resistant identities to be embedded in selected participating electronic Fleet Management System (FMS) units. SUCs, as stable self-created digital modules to be embedded in future smart non-volatile (NV)-FPGA devices, are expected to cover all emerging FMS physical security requirements. Such information-retaining units (when switched-off) are emerging to become widely used as ultra-low-power mass-products in automotive environment. We propose a new FMS security architecture based on embedding SUC modules in each security-relevant entity in the FMS such as vehicles, mobile clients, smart trackers and goods. This paper investigates the expected technical impacts when using SUCs technology as physical security anchors in a standard FMS configuration. Several SUC-related generic security protocols adapted to the FM environment show how to securely-link tracing of goods, tracks routing, and personnel in such FM system. It is also shown how to combine other biometric fingerprints to simplify personal liability and enhance the security management in such globally-operating automated procedures. The presented security analysis of the resulting FMS shows that the major security concerns in existing FMSs can be resolved. One major advantage of SUC technique, is that device-manufacturers can be largely-excluded as security players. The FPGA technology required for the SUC solution is currently not available and is thought for future use. The concept is ultimately applicable if the future electronic mass products would deploy self-reconfiguring non-volatile (flash-based) System on Chip smart units. Such units are expected to dominate future Internet of Things (IoT) ultra-low-energy applications, as power-off does not lose any information. The proposed SUC strategy is highly flexible, scalable, and applicable to cover a large class of globally operating protection mechanisms similar to those of the addressed FMS scenarios.

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Section: Combining Biometric Fingerprints As Additional Security Enhamentioning

confidence: 99%

Physical Security for Fleet Management Systems

2019

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“…One of the core functions of IMS is user authentication based on the digital identity presented by the end user. Integration of biometrics as digital identity into the framework of an IMS holds a lot of promise with associated challenges [1] [2]. Biometric data uniquely identify a user and authenticate them based on their physical or behaviouraltraits.…”

Section: Fig 1 Biometric Authentication Systemmentioning

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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“…Several researchers addressed the issues of usability and security to be adapted to the successful authentication solutions. In [6] studied various aspects of these issues. They presented a concise survey on different types of biometric methods.…”

Section: State-of-the-art Technology Of Biometric Authenticationmentioning

confidence: 99%

“…Since the survey was conducted online, this suggests that regardless of respondents' income, the large majority still had access to the internet. 312.99% 10 RM 3,000 to RM 3,999 416.88% 13 RM 4,000 to RM 4,999 519.48% 15 RM 5,000 and up (6) 40.26% 31 Total 100.00% 77…”

Section: Incomementioning

confidence: 99%

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A Survey of User Preferences on Biometric Authentication for Smartphones

Zabidi¹,

Norowi²,

Rahmat³

2018

IJET

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The search for improving users’ security needs, awareness and concerns in the context of mobile phones still has been conducting in today’s society. Biometric systems identify a person or verify the identity of a person using purportedly unique physical traits or behaviour of that individual. In order to understand user requirements for biometric authentication, it is important to focus on several key issues, including the importance of smartphones in implementing biometric authentication, users’ general knowledge and perception towards biometric authentication, and users’ trust and practice when using different biometric technology for securing their smartphone’s data. A preliminary study in the form of an online survey was conducted. The idea of this study was to conduct a survey on users about their general knowledge and perceptions towards different biometric authentication on smartphones. The results of the study indicate that smartphone is an important tool in implementing biometric authentication. Moreover, users knew what biometric technology is and they are not reluctant to use them. Furthermore, users knew how to protect their smartphone’s data and practice the related preventions. The results are expected to give an insight of deploying biometric technology into mobile devices and further researching onto others biometric authentication.

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Authentication of subjects and devices using biometrics and identity management systems for persuasive mobile computing: A survey paper

Cited by 12 publications

References 21 publications

Physical Security for Fleet Management Systems

Physical Security for Fleet Management Systems

Integrated Framework for Anonymous Biometric Key Based Identity Management System

A Survey of User Preferences on Biometric Authentication for Smartphones

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