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Research Article | Open Access |

Mobile Agent Platform based Wallet for Preventing Double Spending in Offline e-Cash

Author 1: Irwan Author 2: Armein Z. R. Langi Author 3: Emir Husni
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 10, No. 9 · Published 2019

DOI: 10.14569/IJACSA.2019.0100977

Abstract

Electronic cash (or e-cash) research has been going on for more than three decades since it was first proposed. Various schemes and methods are proposed to improve privacy and secu-rity in e-cash, but there is one security issue that less discussed mainly in offline e-cash, namely, double-spending. Generally, the mechanism to deal with double-spending in offline e-cash is performing double-spending identification when depositing the coin. Even though the mechanism is successful in identifying double-spender, but it cannot prevent double-spending. This paper proposes the Mobile Agent Platform based Wallet (MAPW) to overcome the double-spending issue in offline e-cash. MAPW uses the autonomy and cooperation of agents to give protection against malicious agent, counterfeit coin and duplicate coin. This model has been verified using Colored Petri Nets (CPN) and has proven to be successful in preventing double-spending, and overcoming malicious agent, and counterfeit coins.

Keywords

How to Cite this Article

Irwan, Langi, A. Z. R., & Husni, E. (2019). Mobile Agent Platform based Wallet for Preventing Double Spending in Offline e-Cash. International Journal of Advanced Computer Science and Applications, 10(9). https://doi.org/10.14569/IJACSA.2019.0100977

Irwan, et al.. "Mobile Agent Platform based Wallet for Preventing Double Spending in Offline e-Cash." International Journal of Advanced Computer Science and Applications, vol. 10, no. 9, 2019, https://doi.org/10.14569/IJACSA.2019.0100977.

@article{Irwan2019,
  title     = {Mobile Agent Platform based Wallet for Preventing Double Spending in Offline e-Cash},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {10},
  number    = {9},
  year      = {2019},
  publisher = {The Science and Information Organization},
  author    = {Irwan and Armein Z. R. Langi and Emir Husni},
  doi       = {10.14569/IJACSA.2019.0100977},
  url       = {https://doi.org/10.14569/IJACSA.2019.0100977}
}

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