DNA biometrics

Hashiyada, Masaki

doi:10.5772/18139

Cited by 9 publications

(12 citation statements)

References 30 publications

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“…It is unique and deemed impossible to fabricate or mimic [52]. However, it cannot be used in biometrics because it takes a significant amount of time to match, needs expensive equipment, and performs complex steps for extracting, inspecting and matching the DNA [36].…”

Section: Other Potential Sourcesmentioning

confidence: 99%

Biometric Systems Utilising Health Data from Wearable Devices

et al. 2020

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Health data is being increasingly sensed from the health-based wearable Internet of Things (IoT) devices, providing much-needed fitness and health tracking. However, data generated also presents opportunities within computer security, specifically w ith b iometric s ystems u sed f or i dentification an d authentication purposes. This paper performs a systematic review of health-based IoT data collected from wearable IoT technology. This involved performing research in the underlying data sources, what they are collected for in terms of their health monitoring, and the underlying data characteristics. Furthermore, it explores existing work in computer security using these data sources, identifying key themes of work, key limitations and challenges. Finally, key opportunities are provided as summaries to the potential of health-based IoT data, highlighting challenges that are yet to be addressed, which motivate areas of future work. CCS Concepts: • Security and privacy → Biometrics.

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Section: Other Potential Sourcesmentioning

confidence: 99%

Biometric Systems Utilising Health Data from Wearable Devices

et al. 2020

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“…Fingerprint [11,22], facial recognition [23], and iris [20]/retina detail are all physiological biometric parameters. Other physiological parameters available in the field of biometrics include vein recognition [24], ear recognition [25], palm print recognition [26], hand geometry [27], finger geometry [28], lip furrows [29,30], DNA [31], and odour/scent recognition [32]. Behavioural parameters that can be useful in biometric-detection of an individual include keyboard dynamics [33], gait [34], voice recognition [35], and signature [36,37].…”

Section: Other Methodsmentioning

confidence: 99%

Integration of Biometrics and Steganography: A Comprehensive Review

et al. 2019

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The use of an individual’s biometric characteristics to advance authentication and verification technology beyond the current dependence on passwords has been the subject of extensive research for some time. Since such physical characteristics cannot be hidden from the public eye, the security of digitised biometric data becomes paramount to avoid the risk of substitution or replay attacks. Biometric systems have readily embraced cryptography to encrypt the data extracted from the scanning of anatomical features. Significant amounts of research have also gone into the integration of biometrics with steganography to add a layer to the defence-in-depth security model, and this has the potential to augment both access control parameters and the secure transmission of sensitive biometric data. However, despite these efforts, the amalgamation of biometric and steganographic methods has failed to transition from the research lab into real-world applications. In light of this review of both academic and industry literature, we suggest that future research should focus on identifying an acceptable level steganographic embedding for biometric applications, securing exchange of steganography keys, identifying and address legal implications, and developing industry standards.

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“…In U.S, all passports are now tagged with RFID chips and several states now do issue RFID 'enhanced driver's licenses' including Michigan, New York, Vermont and Washington. (Hu, 2013). "In Shenzhen, Southern China they are implementing RFID readers to track the movements of citizens [in a sophisticated manner]: 'all citizens have an ID card with a chip so that they can identify who is in what part of the city at any point in time'.…”

Section: ] (Electronic Frontier Foundation)mentioning

confidence: 99%

“…This data could be used to target individuals or classifications of individuals-such as targeting groups based on immigration status, national origin, credit history, or zipcode-for additional scrutiny or investigation] ". (Hu, 2013).…”

Section: ] (Electronic Frontier Foundation)mentioning

confidence: 99%

Saying NO To Biometrics

Teeluckdharry¹

2022

Preprint

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This paper has been prepared to challenge the MNIS (Mauritius National Identity Scheme) in Mauritius. In the UK, the biometric national ID scheme was junked in 2010. Should Mauritius learn from the UK? A number of courts' decisions with respect to biometric data schemes have been analysed in depth. The dangers and risks of biometric technologies have been exposed. Even if the so called judgemental interferences of biometric technologies especially biometric IDs and databases with the human life (in the presence of adequate legal safeguards) could exceptionally be justified legally, there are ethical and social ramifications which illustrate that this is also an intrusion on human rights and should not be permissible at all.

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DNA biometrics

Cited by 9 publications

References 30 publications

Biometric Systems Utilising Health Data from Wearable Devices

Biometric Systems Utilising Health Data from Wearable Devices

Integration of Biometrics and Steganography: A Comprehensive Review

Saying NO To Biometrics

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