Publication Type : Conference Proceedings
Thematic Areas : Learning-Technologies, Medical Sciences, Biotech
Publisher : In Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) Springer International Publishing., Springer International Publishing, Switzerland.
Source : In Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) Springer International Publishing., Springer International Publishing, Switzerland, p.495-502 (2014)
Url : https://link.springer.com/chapter/10.1007/978-3-319-11933-5_55
ISBN : 9783319119328
Keywords : Authentication, Implicit learning, Rubber-Hose Attack, TISL
Campus : Amritapuri
School : School of Biotechnology, Centre for Cybersecurity Systems and Networks, School of Engineering
Center : Amrita Mind Brain Center, Biotechnology, Cell Biology, Computational Neuroscience and Neurophysiology, Cyber Security
Department : Computational Neuroscience Laboratory, cyber Security, biotechnology
Year : 2014
Abstract : Existing cryptographic systems use strong passwords but several techniques are vulnerable to rubber-hose attacks, wherein the user is forced to reveal the secret key. This paper specifies a defence technique against rubber-hose attacks by taking advantage of image sequence-based theme selection, dependent on a user’s personal construct and active implicit learning. In this paper, an attempt to allow the human brain to generate the password via a computer task of arranging themed images through which the user learns a password without any conscious knowledge of the learned pattern. Although used in authentication, users cannot be coerced into revealing the secret key since the user has no direct knowledge on the choice of the learned secret. We also show that theme interception sequence learning tool works significantly well with mixed user age groups and can be used as a secondary layer of security where human user authentication remains a priority.
Cite this Research Publication : Dr. Shyam Diwakar, Priya Chellaiah, Dr. Bipin G. Nair, and Dr. Krishnashree Achuthan, “Theme Interception Sequence Learning: Deflecting Rubber-Hose Attacks Using Implicit Learning”, Proceedings of 3rd International Conference on Frontiers of Intelligent Computing: Theory and applications (FICTA), Bhubaneswar Engineering College, Bhubaneswar, Orissa, Springer International Publishing. Springer International Publishing, Switzerland, pp. 495-502, 2014