Secured 6-Digit OTP Generation using B-Exponential Chaotic Map

Today, the traditional username and password sys-tems are becoming less popular on the internet due to their vulnerabilities. These systems are prone to replay attacks and eavesdropping. During the Coronavirus pandemic, most of the important transactions take place online. Hence we require a more secure method like one-time password generation to avoid any online frauds. one-time password generation has multiple techniques. With one-time password generation it has become possible to overcome the drawbacks posed by the traditional username and password systems. The one-time password is a two-way authentication technique and hence secure one-time password generation is very important. The current method of one-time password generation is time-consuming and consumes a lot of memory on backend servers. The 4-digit one-time password system limits its uses to 9999 users and with advance deep learning approaches and faster computing it is possible to break through the existing one-time password generation method. Hence we need a system that is not vulnerable to predictive learning algorithms. We propose a 6-digit one-time password generation technique based on a B-exponential chaotic map. The proposed 24-bit (6-digit) long one-time password system offers 120 times higher security as compared traditional 4-digit systems, with a faster backend computing system that selects 24-bits out of 10 8 bits in 89 seconds at 1.09 Kilo-bits per milliseconds. The proposed method can be used for online transactions, online banking, and even automated teller machines.

@article{Naik2021,
  title     = {Secured 6-Digit OTP Generation using B-Exponential Chaotic Map},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {12},
  number    = {12},
  year      = {2021},
  publisher = {The Science and Information Organization},
  author    = {Rasika Naik and Udayprakash Singh},
  doi       = {10.14569/IJACSA.2021.0121296},
  url       = {https://doi.org/10.14569/IJACSA.2021.0121296}
}