Mouse Dynamics as Continuous User Authentication Tool
Anam Khan1, Suhail Javed Quraishi2, Sarabjeet Singh Bedi3
1Anam Khan, Department of Computer Science & Engineering, Invertis University, Bareilly, UP, INDIA.
2Suhail Javed Quraishi*, Department of Computer Science & Engineering, Invertis University, Bareilly, UP, India.
3Dr. Sarabjeet Singh Bedi, Department of Computer Science & Information Technology, MJP Rohilkhand University, Bareilly, UP, INDIA.
Manuscript received on November 11, 2019. | Revised Manuscript received on November 20 2019. | Manuscript published on 30 November, 2019. | PP: 10923-10927 | Volume-8 Issue-4, November 2019. | Retrieval Number: D4404118419/2019©BEIESP | DOI: 10.35940/ijrte.D4404.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: User Specific traits are a very strong methodto strengthen the security of any system as it makes thesystem connected to a specific individual instead of beingaccessed through some token, key, etc. Behavior-based user authentication with pointing devices, such as touchpads or mice, has been obtaining attention. Mouse Dynamicsis method which is inexpensive and provide uniquecharacteristic to prevent unlocked workstations attacks tolock out unauthorized users from accessing the system. Aperceptive survey with comparison on mouse dynamicsbiometrics study performed till now is the objective of thispaper. We consider here the best results reported in terms of False Rejection Rate (FRR) &False Acceptance Rate (FAR).
Keywords: Authentication, Biometric, FAR, FRR, Mouse dynamics, Supervised learning, Unsupervised learning.
Scope of the Article: Artificial Intelligence and Machine Learning.