ITM Web Conf.
Volume 32, 2020International Conference on Automation, Computing and Communication 2020 (ICACC-2020)
|Number of page(s)||6|
|Published online||29 July 2020|
- Veena, K., & Meena, K. “Determination of performance to verify the synthetic identity theft by training the neural networks,” IEEE International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), 2017. [Google Scholar]
- Sharmistha Dutta, Ankit Kumar Gupta and Neetu Narayan. ”Identity Crime Detection Using Data Mining,” IEEE International Conference on Computational Intelligence and Networks (CINE), 2017. [Google Scholar]
- Philip A.K. Lorimer, Victor Ming-Fai Diec,and Burak Kantarci.”Participatory detection of identity theft on mobile social platforms,” IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2017. [Google Scholar]
- Tajpour, Atefeh, “Identity Theft and Fraud Type,” International Journal of Information Processing and Management (IJIPM), 2013. [Google Scholar]
- Raoof, Omar & Al-raweshidy, Hamed. ”Theory of Games: an Introduction” 10.5772/46930.(2010). [Google Scholar]
- Identity Theft - 1 [Online]. Available https://www.cybintsolutions.com/cyber-security-facts-stats/ [Google Scholar]
- Annapurna P Patil, Bharath S and** Nagashree M Annigeri. “Applications of Game Theory for Cyber Security System: A Survey.” International Journal of Applied Engineering Research ISSN 0973-4562 volume 13, Number 17 (2018) pp. 12987-12990, 2018. [Google Scholar]
- Helser, Susan, “Identity theft education: Comparison of text-based and game-based learning” (2016). Graduate Thesis and Dissertations. 15930. https://lib.dr.iastate.edu/etd/15930 [Google Scholar]
- Identity Theft - 2 [Online]. Available: https://en.wikipedia.org/wiki/Yahoo!_data_breaches [Google Scholar]
- Identity Theft - 3 [Online]. Available https://www.csid.com/2016/09/real-cost-identity-theft/ [Google Scholar]
- Identity Theft - 4 [Online]. Available bit.ly/zomatoleaks [Google Scholar]
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