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SMSCC: Smarter and More Secure Credit Card Using Neural Networks in Zero Knowledge Protocol | ||
| Al-Rafidain University College For Sciences | ||
| Article 1, Volume 0, Issue 34, 2017, Pages 227-243 | ||
| Author | ||
| Abeer Tariq | ||
| Abstract | ||
| This paper aims to execute the concept of zero-knowledge that's used in web applications using feed forward neural networks (FFNN). Neural networks have been used in our proposal instead of any other Artificial Intelligence method like genetic algorithms, swarm intelligence algorithms, and machine learning in order to enhance the zero-knowledge method for its randomness and high-level authenticity. The new suggested method has been compared with the traditional method in terms of confidentiality, authenticity, accuracy and speed. It has been noted that the new suggested method is more authenticated and secure than its counterpart in web applications especially ones that require the use of credit cards, which demands a very strong protection between the client and the server in order to gain the client's confidence in these Websites and protect them from the piracy. | ||
| Keywords | ||
| zero; Knowledge; artificial neural networks; client; server technology | ||
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