SECURITY AUTHENTICATION USING ENHANCED ACCELEROMETER AND GYROSCOPE BASED DEXTERITY

Authors

  • Annapoorani S. Assistant Professor, Department Of Information Technology, M. Kumarasamy College of Engineering, Karur-639113 Author
  • Karthik M. UG Student, Department Of Information Technology, M. Kumarasamy College of Engineering, Karur-639113 Author
  • Kavinraj R. UG Student, Department Of Information Technology, M. Kumarasamy College of Engineering, Karur-639113 Author
  • Sathish P. UG Student, Department Of Information Technology, M. Kumarasamy College of Engineering, Karur-639113 Author
  • Surya S. UG Student, Department Of Information Technology, M. Kumarasamy College of Engineering, Karur-639113 Author

DOI:

https://doi.org/10.61841/7b2rbx63

Keywords:

Gyroscope, Accelerometer, Mobile security, Security Authentication

Abstract

A one-time secret phrase (OTP) is a numeric or alphanumeric series of characters confirming the client for a solitary exchange or confirmation meeting. An OTP is more solid than a static secret word, explicitly a secret word made by the client that can be feeble or rehashed by various records. In spite of the fact that it was scrambled, it very well may be hacked rapidly without the consciousness of the purchaser by utilizing assaulting methods, for example, Pegasus, phishing, logging, and so on. The requirement for appropriate security insurance and approval to determine these challenges. This program expands on the present condition of the one-time password technique. It recommends the utilization of advanced methodologies, for example, accelerometer and gyroscope-based confirmation, to address unapproved access. Making it increasingly important to make sure about and maintain a strategic distance from unapproved exchanges utilizing accelerometer and gyroscope-based frameworks. 

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References

[1] Junshuang Yang, Yanyan Li, and Mengjun Xie. 2015. MotionAuth: Motion-based Authentication for Wrist-worn Smart Devices. In Workshop on Sensing Systems and Applications Using Wrist-Worn Smart Devices. IEEE.

[2] A. Akl, C. Feng, and S. Valaee. A novel accelerometer-based gesture recognition system. IEEE Transactions on Signal Processing, 59(12):6197–6205, 2011

[3] A. Akl, C. Feng, and S. Valaee. A novel accelerometer-based gesture recognition system. IEEE Transactions on Signal Processing, 59(12):6197–6205, 2011

[4] M. Shahzad, A. X. Liu, and A. Samuel. Secure unlocking of mobile touch-screen devices by simple gestures: You can see it, but you cannot do it. In Proc. the 19th Annual Intl. Conf. on Mobile Computing and Networking, MobiCom ’13, pages 39–50, 2013.

[5] J. Wu, G. Pan, D. Zhang, G. Qi, and S. Li. Gesture recognition with a 3-D accelerometer. In Proc. the 6th Intl. Conf. on ubiquitous intelligence and computing (UIC), pages 25–38, 2009

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Published

31.05.2020

How to Cite

S. , A., M. , K., R. , K., P. , S., & S. , S. (2020). SECURITY AUTHENTICATION USING ENHANCED ACCELEROMETER AND GYROSCOPE BASED DEXTERITY. International Journal of Psychosocial Rehabilitation, 24(3), 3546-3550. https://doi.org/10.61841/7b2rbx63