

Railway Reservation System with Wireless Networking
Abstract
For online ticket booking in the Online Railway Reservation System, the planned customer must enter details like username and secret phrase. Once the username and passwords are affirmed then he is allowed to enter the essential structure wherein he can pick the objective, date and no of tickets. He is required to provide installment details in order to purchase the tickets (such as Visa details, for example). The client is furthermore given a plan of dropping the booking where in the entire aggregate is credited back to his record. The assessment part also contains the UML frames that lift the program. Framework will show the booking after immediately and put away them for additional utilization.
References
Chaudhary, K., Yadav, J., & Mallick, B. (2012). A review of fraud detection techniques: Credit card. International Journal of Computer Applications, 45(1), 39-44.
Das, S. (2020). Railway Reservation System using Wireless Networking. Recent Innovations in Wireless Network Security, 1(3).
Suman, C., & Tharani, L. (2016). A review on railway security methods. INROADS-An International Journal of Jaipur National University, 5(1s), 58-62.
Shen, A., Tong, R., & Deng, Y. (2007, June). Application of classification models on credit card fraud detection. In 2007 International conference on service systems and service management (pp. 1-4). IEEE.
Lakshmi, S. V. S. S., & Kavilla, S. D. (2018). Machine learning for credit card fraud detection system. International Journal of Applied
Refbacks
- There are currently no refbacks.