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Secure Event Ticket Booking Using Decentralized System

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Blockchain Technology: Applications and Challenges

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 203))

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Abstract

Over the past years, it has been noticed that there is a steady increase in the number of events being conducted across the globe, and the entry to these events is monitored through a system of tickets. One of the biggest problems faced by the event organizers regarding the current system of events is the duplication and reselling of the tickets at a cost higher than the original cost. It has become easier for the conmen to carry out this process as most of the tickets are purchased through various online platforms. Therefore, it is important to establish a reliable system to make sure that there won’t be any tampering of the ticket. The objective behind this chapter is to introduce a new system of ticketing wherein, the issues faced in the current system can be tackled with the help of blockchain technology. In our proposed model, an online platform is engineered where the digital tickets are linked to the purchasers with the help of their mobile numbers. All the events are stored in the form of the ledger based on handling variance and tracking of the system. Due to its characteristics of decentralization, transparency, integrity, and immutability, blockchain can be effectively used to eliminate the above problems and improve the proof of ownership, making the tickets tamper-proof. This system will introduce trust between the participants involved in this chain and allows the consumers to authenticate and verify the ownership of the tickets before purchasing them. However, the usage of blockchain technology brings some constraints to our model when it comes to a large population.

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Naman, V., Daliyet, S.P., Lokre, S.S., Varaprasad Rao, K. (2021). Secure Event Ticket Booking Using Decentralized System. In: Panda, S.K., Jena, A.K., Swain, S.K., Satapathy, S.C. (eds) Blockchain Technology: Applications and Challenges. Intelligent Systems Reference Library, vol 203. Springer, Cham. https://doi.org/10.1007/978-3-030-69395-4_13

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