Using Theme-based Narrative Construct of Images as Passwords: Implementation and Assessment of Remembered Sequences

Authors

  • Priya Chellaiah Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham (Amrita University)
  • Bipin Nair Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham (Amrita University)
  • Krishnashree Achuthan Amrita Center for Cyberphysical Systems and Networks, Amrita University.
  • Shyam Diwakar Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham (Amrita University) https://orcid.org/0000-0003-1546-0184

DOI:

https://doi.org/10.3991/ijoe.v13i11.7774

Keywords:

Cybersecurity, Image-based passwords, Authentication, Sequence Learning, Cartoon Sequence, ElectroEncephaloGraphy.

Abstract


Secret keys connecting users to the system is the heart of cryptographic systems. With the recent wars, several cryptographic systems that use alpha-numeric passwords have been known to be vulnerable to many attacks. Image based password systems were introduced to add more complexity and security. This paper employs human uniqueness of narrative skills on an image-based password system with focus on theme in the password generation process. To generate the secret password, a specially designed computer game was used. We used narrative constructs composed of cartoon image sequences to generate user-specific secret key. The durability of generated passwords and the authentication process while assessing the reconstruction process by a potential hacker was verified. Under imposed psychological duress, users failed retrieving the password sequence suggesting the reliability as an anti-coercive attack cybersecurity tool. A set of experiments were used to analyze user behavior behind the image-based password system. EEG measurements demonstrated increased activity of α rhythms in F3 and FC5 channel bins and augmented levels of β rhythms in F3 and O1 channels, suggesting users added personalization to authentication more than in alpha-numeric password-based logins.

Author Biographies

Priya Chellaiah, Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham (Amrita University)

Priya Chellaiah is currently a Research Assistant at Amrita University, India.

Bipin Nair, Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham (Amrita University)

Bipin Nair is the Professor and Dean of School of Biotechnology, Amrita Vishwa Vidyapeetham University, India. (e-mail: bipin@amrita.edu).

Krishnashree Achuthan, Amrita Center for Cyberphysical Systems and Networks, Amrita University.

Krishnashree Achuthan is Dean, Post Graduate programs and Director, Amrita Center for Cyber-Security Systems and Networks. (e-mail:  krishna@amrita.edu).

Shyam Diwakar, Amrita School of Biotechnology, Amrita Vishwa Vidyapeetham (Amrita University)

Shyam Diwakar is Associate Professor and Lab Director of Computational Neuroscience Laboratory at the School of Biotechnology. Amrita University, India. He is a Young Faculty Fellow under Sir Visvesvaraya PhD scheme by Media Labs Asia, Ministry of Electronics and IT, Government of India. He is a Co-investigator of VALUE (Virtual and Accessible Laboratories for Universalizing Education); a virtual labs initiative supported by Sakshat mission of MHRD, Government of India, and Principle Investigator of few other projects funded by Department of Science and Technology, Government of India. (e-mail: shyam@amrita.edu). � 

Downloads

Published

2017-11-22

How to Cite

Chellaiah, P., Nair, B., Achuthan, K., & Diwakar, S. (2017). Using Theme-based Narrative Construct of Images as Passwords: Implementation and Assessment of Remembered Sequences. International Journal of Online and Biomedical Engineering (iJOE), 13(11), pp. 77–93. https://doi.org/10.3991/ijoe.v13i11.7774

Issue

Section

Papers