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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Modelling and Simulation of a Biometric Identity-Based Cryptography

Author 1: Dania Aljeaid Author 2: Xiaoqi Ma Author 3: Caroline Langensiepen
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 3, No. 10 · Published 2014

DOI: 10.14569/IJARAI.2014.031005

Abstract

Government information is a vital asset that must be kept in a trusted environment and efficiently managed by authorised parties. Even though e-Government provides a number of advantages, it also introduces a range of new security risks. Sharing confidential and top-secret information in a secure manner among government sectors tends to be the main element that government agencies look for. Thus, developing an effective methodology is essential and it is a key factor for e-Government success. The proposed e-Government scheme in this paper is a combination of identity-based encryption and biometric technology. This new scheme can effectively improve the security in authentication systems, which provides a reliable identity with a high degree of assurance. This paper also demonstrates the feasibility of using finite-state machines as a formal method to analyse the proposed protocols. Finally we showed how Petri Nets could be used to simulate the communication patterns between the server and client as well as to validate the protocol functionality.

Keywords

How to Cite this Article

Aljeaid, D., Ma, X., & Langensiepen, C. (2014). Modelling and Simulation of a Biometric Identity-Based Cryptography. International Journal of Advanced Research in Artificial Intelligence, 3(10). https://doi.org/10.14569/IJARAI.2014.031005

Aljeaid, Dania, et al.. "Modelling and Simulation of a Biometric Identity-Based Cryptography." International Journal of Advanced Research in Artificial Intelligence, vol. 3, no. 10, 2014, https://doi.org/10.14569/IJARAI.2014.031005.

@article{Aljeaid2014,
  title     = {Modelling and Simulation of a Biometric Identity-Based Cryptography},
  journal   = {International Journal of Advanced Research in Artificial Intelligence},
  volume    = {3},
  number    = {10},
  year      = {2014},
  publisher = {The Science and Information Organization},
  author    = {Dania Aljeaid and Xiaoqi Ma and Caroline Langensiepen},
  doi       = {10.14569/IJARAI.2014.031005},
  url       = {https://doi.org/10.14569/IJARAI.2014.031005}
}

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