An efficient privacy-preserving user authentication scheme using image processing and blockchain technologies

References

• Seqrite. (2018) Importance of user authentication in network security. [Online]. Available: https://blogs.seqrite.com/
   Google Scholar
• C. Mathias. (2014) Why mobile user authentication is more important than ever.
   Google Scholar
• C. Shi, J. Liu, H. Liu, and Y. Chen, “Smart User Authentication through Actuation of Daily Activities Leveraging WiFi-enabled IoT,” in MobiHoc 2017.
   Google Scholar
• N. Clarke and S. Furnell., “Authentication of users on mobile telephones: A survey of attitudes and practices,” Comput. and Security, vol. 24, no. 7, pp. 519–527, 2005. doi: https://doi.org/10.1016/j.cose.2005.08.003
   Google Scholar
• A. Vance. (2010) If your password is 12345, just make it hack me. [Online]. Available: http://www.nytimes.com/
   Google Scholar
• H. League. (2018) What is Brute Force Attack?. [Online]. Available: https://medium.com/
   Google Scholar
• Mahesh. (2019) How Hackers Hack Your Accounts And Passwords And Ways To Avoid Being Compromised.
   Google Scholar
• M. Li, Y. Meng, J. Liu, H. Zhu, X. Liang, Y. Liu, and N. Ruan, “When CSI Meets Public WiFi: Inferring Your Mobile Phone Password via WiFi Signals,” in Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, ser. CCS ‘16. NY, USA: ACM, 2016, pp. 1068–1079.
   Google Scholar
• A. Kelly, “Cracking Passwords using Keyboard Acoustics and Language Modeling,” Master’s thesis, School of Informatics, University of Edinburgh, 2010.
   Google Scholar
• N. Lord. (2018) Uncovering Password Habits: Are Users’ Password Security Habits Improving? (Infographic).: https://digitalguardian.com/
   Google Scholar
• A. J. Aviv, K. Gibson, E. Mossop, M. Blaze, and J. M. Smith, “Smudge attacks on smartphone touch screens,” in 4th USENIX Conf. 2010, pp. 1–7.
   Google Scholar
• P. Cheng, I. Bagci, U. Roedig, and J. Yan, “SonarSnoop: Active Acoustic Side-Channel Attacks,”.
   Google Scholar
• S. R. Labs. Fingerprints are not fit for secure device locking, Security Research Labs.
   Google Scholar
• L. H. Newman. (2016) Hackers Trick Facial-Recognition Logins with photos from Facebook (What else?).
   Google Scholar
• R. Brandom. (2017) Two-Factor authentication is a mess. [Online]. Available: https://www.theverge.com
   Google Scholar
• N. Gunsun, D. MArshall, H. Morton, and M. Jack, “User perceptions of security and usability of single-factor and two-factor authentication in automated telephone banking,” Computers and Security, vol. 30, no. 4, pp. 208–220, June 2011. doi: https://doi.org/10.1016/j.cose.2010.12.001
   Google Scholar
• V. M. Patel, R. Chellappa, D. Chandra, and B. Barbello, “Continuous user authentication on mobile devices: Recent progress and remaining challenges,” IEEE Signal Processing Magazine, vol. 33, no. 4, pp. 49–61, July 2016. doi: https://doi.org/10.1109/MSP.2016.2555335
   Web of Science ®Google Scholar
• M. SandstrÃDom, “Liveness Detection in Fingerprint Recognition Systems,” in Linkopings University, Master Thesis, Sweden, June 2004.
   Google Scholar
• T. V. Puttee and J. Kuening, “Biometrical fingerprint recognition: don’t get your fingers burned,” in In Proceedings of IFIP TC8/WG8.8 Fourth Working Conference on Smart Card Research and Advanced Applications, September 2000.
   Google Scholar
• M. Sepasian, C. Mares, and W. Balachandran, “Liveness and spoofing in fingerprint identification: issues and challenges,” in recent ad volume 4, 2016.
   Google Scholar
• C. Yuan, X. Sun, and Q. M. Wu, “Difference co-occurrence matrix using B.P. neural network for fingerprint liveness detection,” Soft Computing, April 2018.
   Google Scholar
• Z. Xia, C. Yuan, R. Lv, X. Sun, N. N. Xiong, and Y. Shi, “A novel weber local binary descriptor for fingerprint liveness detection,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, pp. 1–11, 2018.
   Google Scholar
• W. Yang, S. Wang, J. Hu, G. Zheng, and C. Valli, “Security and accuracy of fingerprint-based biometrics: A review,” Symmetry 2019, 11(2), 141, pp. 1–11.
   Google Scholar
• A. Abhyankar, S. Schuckers, Wavelet-based approach to detecting liveness in fingerprint scanners, in Proceedings of the SPIE Defense and Security Symposium, Biometric Technology for Human Identification, April 2004, pp. 278-286.
   Google Scholar
• P. Coli, G. L. Marcialis, F. Roli, Power spectrum-based fingerprint vitality detection, IEEE Workshop on Automatic Identification Adv. Tech. AutoID 2007.
   Google Scholar
• J. Galbally, F. Alonso-Fernandez, J. Fierrez, J. Ortega-Garcia, A high performance fingerprint liveness detection method based on quality related features. Future Gener. Comput. Syst. 2012, 28, 311–321. doi: https://doi.org/10.1016/j.future.2010.11.024
   Web of Science ®Google Scholar
• W. Kim, Fingerprint Liveness Detection Using Local Coherence Patterns. IEEE Signal Process Lett 1, 2014, pp.1–5
   Google Scholar
• H.Y. Jung, YS Heo, Fingerprint liveness map construction using convolutional neural network. Electron Lett 54(9), pp.8– 9, 2018. doi: https://doi.org/10.1049/el.2018.0621
   Google Scholar
• Z. Xia, C. Yuan, Lv R, X. Sun, A Novel Weber Local Binary Descriptor for Fingerprint Liveness Detection. IEEE Trans Syst Man Cybern Syst, 1–11, 2018.
   Google Scholar
• P. Tirlotkar, Chitrakathi K., Rohit Jadhav R., Khamkar A., Mishra M., Smart Attendance System Using Image Processing, International Journal Of Engineering Research & Technology (IJERT) ICIATE – 2017 vol. 5(01), 2017.
   Google Scholar
• Hegde C, Manu S., Shenoy P. D., Venugopal K. R. and Patnaik L. M., “Secure Authentication using Image Processing and Visual Cryptography for Banking Applications,” 2008 16th International Conference on Advanced Computing and Communications, 2008, pp. 65-72, doi: https://doi.org/10.1109/ADCOM.2008.4760429.
   Google Scholar
• Pintu R Shah, Image based Authentication System, International Journal of Computer Applications (0975 – 8887), International Conference on Communication Technology 2013, pp. 1-4, 2013.
   Google Scholar
• T. Brewster. (2018) We Broke Into A Bunch Of Android Phones With A 3D-Printed Head.
   Google Scholar
• (2017) Bkav’s new mask beats Face ID in “twin way”: Severity level raised, do not use Face ID in business transactions.
   Google Scholar
• Samsung. (2016) Iris Recognition on Galaxy S8. [Online]. Available: https://www.samsung.com/au/iris/
   Google Scholar
• D. Goodin. (2016) Breaking the iris scanner locking Samsung’s Galaxy S8 is laughably easy. [Online].
   Google Scholar
• H. Zhong, S. S. Kanhere, and C. T. Chou, “VeinDeep: Smart Phone Unlock using Vein Patterns,” in Percom 2017.
   Google Scholar
• J. Cox. (2018) Hackers Make a Fake Hand to Beat Vein Authentication. [Online]. Available: https://www.vice.com/
   Google Scholar
• I. Martinovic, K. Rasmussen, M. Roeschlin, and G. Tsudik, “Authentication Using Pulse-response Biometrics,” Commun. ACM, vol. 60, no. 2, pp. 108–115, Jan. 2017. [Online]. Available: http://doi.acm.org/https://doi.org/10.1145/3023359
   Google Scholar
• N. Zheng, K. Bai, H. Huang, and H. Wang, “You are How You Touch: User Verification on Smartphones via Tapping Behaviors,” in 2014 IEEE 22nd International Conference on Network Protocols, pp. 211–221.
   Google Scholar
• Y. Chen, J. Sun, R. Zhang, and Y. Zhnag, “Your Song Your Way: RhythmBased Two-Factor Authentication for Multi-Touch Mobile Devices,” in 2015 IEEE Conference of Computer Communications (Infocom).
   Google Scholar
• T. Feng, X. Zhao, N. DeSalvo, Z. Gao, X. Wang, and W. Shi, “Security after Login: Identity Change Detection on Smartphones Using Sensor Fusion,” in 2015 IEEE International Symposium on Technologies for Homeland Security (HST), pp. 1–6.
   Google Scholar
• F. Zhang, A. Kondor, and S. Muftic, “A Location-Based Authentication and Authorization using Smart Phones,” in IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communication, 2012, pp. 1285–1292.
   Google Scholar
• U. A. Abdurrahman, M. Kaiiali, and J. Muhammad, “A new mobilebased multi-factor authentication scheme using pre-shared number, GPS location and time stamp,” in 2013 International Conference on Electronics, Computer and Computation, pp. 293–296.
   Google Scholar
• N. Karapanos, C. Marforio, C. Soriente, and S. Capkun, “Sound-Proof: Usable Two-Factor Authentication Based on Ambient Sound,” in 24th Usenix Security Symposium 2015, pp. 483–498.
   Google Scholar
• RSA. (2019) RSA SecureID. [Online]. Available: https://www.rsa.com
   Google Scholar
• Yubico. (2019) YubiKeys. [Online]. Available: https://www.yubico.com
   Google Scholar
• Kwikset. (2019) Touch-to-Open Smart Lock. [Online]. Available: https://www.kwikset.com/kevo/default
   Google Scholar
• M. Wollerton. (2016) Here’s what happened when someone hacked ‘the August Smart Lock. [Online]. Motiv. (2018) Motiv Ring now provides new, easy-to-use security features to protect your online identity. [Online].
   Google Scholar
• Auth0. (2017) Two Factor Authentication Using Biometrics. [Online].
   Google Scholar
• Biosig-id. (2018) Biometric Multi-factor Authentication Smart Password.
   Google Scholar
• Shen M., Deng Y., Zhu L., Du X., Guizani N. Privacy-Preserving Image Retrieval for Medical IoT Systems: A Blockchain-Based Approach. IEEE Netw. 2019;33:27–33. doi: https://doi.org/10.1109/MNET.001.1800503.
   Google Scholar
• Jabarulla M.Y., Lee H. Blockchain-Based Distributed Patient-Centric Image Management System. arXiv. 20202003.08054
   Google Scholar
• Li Y., Tu Y., Lu J., Wang Y. A Security Transmission and Storage Solution about Sensing Image for Blockchain in the Internet of Things. Sensors. 2019;20:916. doi: https://doi.org/10.3390/s20030916.
   Google Scholar