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Evaluation of the Multifactor Authentication Technique for Mobile Applications

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Intelligent Computing (CompCom 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 998))

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Abstract

Nowadays, mobile smartphones are popular devices among general population. Compared to the traditional mobile phone, smartphone is closer to a personal computer with a good number of mobile applications installed. However, when a user browses certain mobile application, his or her account is at risks if static password is the only element required for authentication. To overcome this problem, multi-factor authentication is widely required for mobile applications. In this paper, we conduct a survey for a group of mobile application users and analyze the pros and cons of each authentication method by case studies. We focus on six main factors to evaluate each authentication method. Our study found that traditional password authentication, biometrics authentication methods such as fingerprint, face, and voice scored relatively high on Convenience, Time, Security and Accuracy. More important, these four aspects are exactly the most essential factors to a mobile application’s quality that relate to safety issue and user experience as well. Our evaluation results show that biometric authentication methods are currently used most often by mobile applications and well accepted by its users. Overall, we evaluated five cases with advantages and disadvantages. We found fingerprint, voice authentication played outstanding as biometric authentication methods. We also come up with a new authentication proposal for mobile application design and for the future research that in view of mobile devices are more and more functional nowadays, we recommend mobile applications to use biometric authentication in two steps authentication methods.

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References

  1. Aloul, F., Zahidi, S., El-Hajj, W.: Multi factor authentication using mobile phones. Int. J. Math. Comput. Sci. 4(2), 65–80 (2009)

    Google Scholar 

  2. Sabzevar, A.P., Stavrou, A.: Universal multi-factor authentication using graphical passwords. In: IEEE International Conference on Signal Image Technology and Internet Based Systems, 2008. IEEE (2008)

    Google Scholar 

  3. Sun, J., et al.: Touchin: sightless two-factor authentication on multi-touch mobile devices. In: 2014 IEEE Conference on Communications and Network Security (CNS). IEEE (2014)

    Google Scholar 

  4. Liou, J.-C., et al.: A sophisticated RFID application on multi-factor authentication. In: 2011 Eighth International Conference on Information Technology: New Generations (ITNG). IEEE (2011)

    Google Scholar 

  5. Nag, A.K., Dasgupta, D., Deb, K.: An adaptive approach for active multi-factor authentication. In: 9th Annual Symposium on Information Assurance (ASIA14) (2014)

    Google Scholar 

  6. Jain, A.K., Nandakumar, K.: Biometric authentication: system security and user privacy. IEEE Comput. 45(11), 87–92 (2012)

    Article  Google Scholar 

  7. Schiavone, E., Ceccarelli, A., Bondavalli, A., Carvalho, A.M.: Usability assessment in a multi-biometric continuous authentication system. In: 2016 Seventh Latin-American Symposium on Dependable Computing (LADC), pp. 43–50. IEEE (2016)

    Google Scholar 

  8. Dhamija, R., Perrig, A.: Deja Vu-A user study: using images for authentication. In: USENIX Security Symposium, vol. 9, pp. 4–4 (2000)

    Google Scholar 

  9. Trewin, S., et al.: Biometric authentication on a mobile device: a study of user effort, error and task disruption. In: Proceedings of the 28th Annual Computer Security Applications Conference. ACM (2012)

    Google Scholar 

  10. Raza, M., Iqbal, M., Sharif, M., Haider, W.: A survey of password attacks and comparative analysis on methods for secure authentication. World Appl. Sci. J. 19(4), 439–444 (2012)

    Google Scholar 

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Correspondence to Yan Wu .

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Zhang, T., Yang, L., Wu, Y. (2019). Evaluation of the Multifactor Authentication Technique for Mobile Applications. In: Arai, K., Bhatia, R., Kapoor, S. (eds) Intelligent Computing. CompCom 2019. Advances in Intelligent Systems and Computing, vol 998. Springer, Cham. https://doi.org/10.1007/978-3-030-22868-2_49

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