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Leveraging Cloud-Based Resources for Automated Biometric Identification

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Biometric-Based Physical and Cybersecurity Systems

Abstract

The rapid rise of cloud computing technology marks the next wave of enterprise information technology, catering up a market demand of a digitized economy to deliver traditional utilities such as electricity, gas, water, to name a few. The tremendous benefits of cloud computing technologies are being leveraged by companies of all sizes, leading lots of novel concepts and implementations, such as Software as a Service, Platform as a Service, Storage as a Service, and Infrastructure as a Service. In this chapter we give a survey on leveraging cloud-based resources for automated biometric identification, i.e., Biometrics as a Service (BAAS). In particular we present a comprehensive state-of-the-art cloud-based biometrics technologies for identification and authentication and then investigate on new systems, frameworks, and technologies developed by the community from the perspective of BAAS.

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References

  1. A. Regalado, Who coined ‘cloud computing’? MIT Technology Review 1–10 (2011)

    Google Scholar 

  2. P. Mell, T. France, The NIST definition of cloud computing. In NIST Special Publication 800-145, Sept. 2011

    Google Scholar 

  3. D. Harris, What google compute engine means for cloud computing. GigaOM-Tech News, Analysis and Trends (2012)

    Google Scholar 

  4. E. Walker, Benchmarking Amazon EC2 for high-performance scientific computing. The Magazine of USENIX and SAGE 33(5), 18–23 (2008)

    Google Scholar 

  5. D. Agarwal, S. Prasad, AzureBench: benchmarking the storage services of the azure cloud platform. In Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops and PhD Forum (IPDPSW ‘12). IEEE Computer Society, Washington, DC, pp. 1048–1057

    Google Scholar 

  6. R. Prodan, M. Sperk, S. Ostermann, Evaluating high-performance computing on Google app engine. Software, IEEE 29(2), 52–58 (2012)

    Article  Google Scholar 

  7. ISO/IEC 17788:2014 1st Information technology – Cloud computing – Overview and vocabulary JTC1/SC38

    Google Scholar 

  8. P. Pakutharivu, M.V. Srinath. A comprehensive survey on fingerprint recognition systems. Indian J. Sci. Technol. 8(35) 1–7 (2015)

    Google Scholar 

  9. Z. Zhu, Q. Ji, Novel eye gaze tracking techniques under natural head movement. IEEE Trans. Biomed. Eng. 54(12), 2246–2260 (2007)

    Article  Google Scholar 

  10. Service https://www.merriam-webster.com/dictionary/service. Retrieved in Mar. 7 2017

  11. N. Risch, B. Devlin, On the probability of matching DNA fingerprints. Science (New Series) 255(5045), 717–720 (1992)

    Google Scholar 

  12. F. Liu, W.P. Guo, Z.Q. Zhao, W. Chou. SaaS integration for software cloud. In Proceedings of 2010 I.E. 3rd International Conference on Cloud Computing, 2010, pp. 402–409

    Google Scholar 

  13. Frost and Sullivan. Cloud-based Identity and Authentication: Biometrics-as-a-Service. Fujitsu. http://www.fujitsu.com/us/Images/Fujitsu-FrostSullivan_Cloud_WP_Biometrics-as-a-Service.pdf. Retrieved in Mar. 1 2017

  14. Cloud-Based Iris Recognition Solution, http://www.iritech.com/products/solutions/cloud-based-iris-recognition-solution-0. Retrieved in Mar. 23 2017

  15. IriShield Demo, https://play.google.com/store/apps/details?id=com.iritech.iddk.demo. Retrieved in Mar. 23 2017

  16. FingerCheck, https://fingercheck.com/latest-updates-to-the-fingercheck-mobile-app/. Retrieved in Mar. 23 2017

  17. MorphoTrust, http://www.morphotrust.com/Portals/0/MorphoTrust_Intro_Brief.pdf. Retrieved in Mar. 23 2017

  18. A. Iosup, R. Prodan, D. Epema, Iaas cloud benchmarking: approaches, challenges, and experience, in Cloud Computing for Data-Intensive Applications, (Springer, New York, 2014), pp. 83–104

    Google Scholar 

  19. B. Butler, PaaS primer: what is platform as a service and why does it matter?. Network World, February 11, 1–5 2013

    Google Scholar 

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Correspondence to Wei Lu .

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Lu, W., Hancock, J., Osowiecki, B., Taft, A., Li, W. (2019). Leveraging Cloud-Based Resources for Automated Biometric Identification. In: Obaidat, M., Traore, I., Woungang, I. (eds) Biometric-Based Physical and Cybersecurity Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-98734-7_17

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  • DOI: https://doi.org/10.1007/978-3-319-98734-7_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98733-0

  • Online ISBN: 978-3-319-98734-7

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