Enhancing graphical password authentication system with deep learning-based arabic digit recognition-Reference-Cited by-同舟云学术

Enhancing graphical password authentication system with deep learning-based arabic digit recognition

Published:2023-10-13 Issue: Volume: Page:
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Rasheed Areeg Fahad,Zarkoosh M.,Elia F. R.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s41870-023-01561-8.pdf

Reference20 articles.

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2. Aloysius N, Geetha M (2017) A review on deep convolutional neural networks. In: 2017 international conference on communication and signal processing (ICCSP). IEEE, pp. 0588–0592

3. Andriotis P, Kirby M, Takasu A (2022) Bu-dash: a universal and dynamic graphical password scheme. In: HCI for Cybersecurity, Privacy and Trust: 4th International Conference, HCI-CPT 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Virtual Event, June 26–July 1, 2022, Proceedings. Springer, pp 209–227

4. Bhanushali A, Mange B, Vyas H, Bhanushali H, Bhogle P (2015) Comparison of graphical password authentication techniques. Int J Comput Appl 116(1):96

5. Gokhale MAS, Waghmare VS (2016) The shoulder surfing resistant graphical password authentication technique. Procedia Comput Sci 79:490–498

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