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Research Article

E-card Generation & virtual Gateway Using Framework

  • Paper ID 807
  • Volume 3, Issue 6
  • Pages 126-127
  • Published Online: November-December 2022
Open Access Peer Reviewed

Authors

  • Aftab Alam1
  • Ahtesham Khan2
  • Arshad Ansari3
  • Imran Khan4
  • Aaisha khatun5

1234 B. Tech Student, Computer Science and Engineering, Institute of Technology and Management, Gorakhpur, U.P., India. 5Assistant Professor, Computer Science and Engineering, Institute of Technology and Management, Gorakhpur,U.P., India.

Article Information

DOI
No DOI
Published Online
November-December 2022
Pages
126-127
Article Type
Research Article
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No DOI available for cross-reference

References

[1] "JMU Scholarly Commons Detecting Credit Card Fraud: An Analysis of Fraud Detection Techniques," S. H. Projects and W. Lovo,
2020.Int. J. Data Min. Tech. Appl., vol. 7, no. 1, pp. 21–24, 2018, doi: 10.20894/ijdmta.102.007.001.004; S. G. and J. R. R., "A Study on
Credit Card Fraud Detection Using Data Mining Techniques."
[2] Investopedia's "Credit Card Definition," available at https://www.investopedia.com/terms/c/creditcard.asp (retrieved April 3, 2021).
Credit card fraud: awareness and prevention, Journal of Financial Crime, vol. 15, no. 4, pp. 398–410, 2008, doi:
10.1108/13590790810907236.
[3] K. J. Barker, J. D'Amato, and P. Sheridon.
[4] S. Geetha and V. N. Dornadula, "Credit Card Fraud Detection using Machine Learning Algorithms," Procedia Computer Science, vol.
165, no. 6, 2019, p. 631-641, doi: 10.1016/j.procs.2020.01.057
[5] A. Alhazmi, H., and N. A Survey of Credit Card Fraud Detection Using Machine Learning, Aljehane, 2020 International. Conf. Comput.
Inf. Technol. 10-15, 2020; 10.1109/ICCIT-144147971.2020.9213809; ICCIT 2020.Fraud detection based on data mining, arXiv, 2020.
[6] A. Agarwal, "Survey of Different Techniques Used for Credit Card Fraud Detection," International J. J. Res. Appl. Sci. Eng. Technology,
volume 2020, volume 8, number 7, pages 1642–1646, doi:10.22214/ijraset.2020.30614.[9] C. A Comparative Study of Credit Card Fraud,
vol. 7, no. 19, pp. 998–1011, 2020.[10] R. Sailusha, G., V., Gnaneswar, and R. Credit Card Fraud Detection Using
[7] B. Ramakoteswara Rao Wickramanayake, Y. Ouyang, C. Ouyang, and D. K. Geeganage. A survey of machine learning for online card
payments, Xu, Proc. Int. Conf. Intell Comput.Regulatory Syst. 2020, ICICCS, no. I. I. C. C. S., 2020, pp. 1264–1270, doi:
10.1109/ICICCS48265.2020.9121114. N. Sael, Sadgali, and F. In Benabbou's article "Detection and prevention of credit card fraud: State of
the Art," published in MCCSIS 2018 - Multi Conf. Comput. Sci. Inf. Syst. Proc. Int. Conf. Using Big Data. Data Minimum Comput. Intell.
Year 2018 Theory Practice Mod. Comput. Connect in 2018. Sma, no. March 2019, pages 129–136
[8] R. A. Goyal and Review on Credit Card Fraud Detection Using Data Mining Classification Techniques & Machine Learning Algorithms,
International Journal of Research and Applications, vol. 7, no. 1, 2020, [Online], pp. 972–975.
http://www.ijrar.org/papers/IJRAR19K7539.pdf is accessible
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