Abstract
Blockchain is a distributed database with specific properties and elements in the idea of Bitcoin, which is a combination of peer to peer networks, software, and protocols. Currently, many companies start to adopt blockchain in their systems to enhance the rate of security and data integrity. However, blockchain has proved its ability in different life fields, such as education, healthcare, government, and industry. However, as a result of the increasing rate of airline transportation issues, there was a high demand to activate blockchain in aviation to prove robustness solutions. However, airline transportation had been evolving by decades, and to preserve these rates of evolution, it needs to integrate new technologies in the airline sector. The main features of the blockchain that make it useful in improving air transportation routes are its ability to store any information such as events, object transactions, and electronic transactions. Moreover, the blockchain can provide legal support for flights and managing passenger information and airline flights to solve issues related to transparency, and control. In this paper we give the first steps to a scientific comprehensive literature review that present a detailed of the current investigations and studies in introducing blockchain in the airline sector. Besides, the paper introduce the main challenges, assumptions, advantages, and future work in integrating blockchain in airline sector as a way for enhancing public transportation and human life.
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References
Hîrtan L-A, Dobre C (2018) Blockchain privacy-preservation in intelligent transportation systems. In: 2018 IEEE International conference on computational science and engineering (CSE)
Merrefield C et al. (2018) What blockchains could mean for government and transportation operations, John A. Volpe national transportation systems Center (US)
Namiot D, Pokusaev O, Kupriyanovsky V, Akimov A (2017) Blockchain applications for transport industry. Int J Open Info Technol 5
Shirani A (2018) Blockchain for global maritime logistics issues in information systems 19
Kamath R (2018) Food traceability on blockchain: Walmart’s pork and mango pilots with IBM. J British Blockchain Assoc 3712
McPhee C, Ljutic A (2017) Blockchain technology innovation management Review 7
Astarita V, Giofré VP, Mirabelli G, Solina V (2020) A review of blockchain-based systems in transportation. IEEE Internet of Inform 11
Bai CA, Cordeiro J, Sarkis J et al (2020) Blockchain technology: business, strategy, the environment, and sustainability. Bus Strat Environ 29
Carter C, Koh L (2018) Blockchain disruption in transport: are you decentralised yet?
Dobrovnik M, Herold DM, Fu¨rst E, Kummer S (2018) Blockchain for and in logistics: what to adopt and where to start. Logistics 2(18): Multidisciplinary Digital Publishing Institute
Akmeemana C (2017) Blockchain takes off, Dagstuhl Reports
Adacher L, Flamini M (2020) Optimizing airport land side operations check-In, passengers’ migration, and security control processes. J Adv Transport
Hahn DA, Munir A, Behzadan V (2019) Security and privacy issues in intelligent transportation systems: classification and challenges. IEEE Intell Transp Syst 55
Clementi MD, Kaafar M, Larrieu N, Asghar H, Lochin E (2019) When air traffic management meets blockchain technology: a blockchain-based concept for securing the sharing of flight data
Reisman RJ (2019) Air traffic management blockchain infrastructure for security, authentication and privacy
Andrej S (2018) Blockchain digital transformation and the law: what can we learn from the recent deals?. CBS Maritime Law Seminar Series on March 22
Aleshi A, Seker R, Babiceanu RF (2020) Blockchain model for enhancing aircraft maintenance records security. IEEE
Di Vaio A, Varriale L (2020) Blockchain technology in supply chain manage ment for sustainable performance: evidence from the airport industry. Int J Info Manage 52
Ranjan S, Negi A, Jain H, Pal B, Agrawal H (2019) Network system design using hyperledger fabric: permissioned blockchain framework. In: 2019 Twelfth international conference on contemporary computing (IC3), IEEE pp 1–6
AÍvarez-Díaz N, Herrera-Joancomartí J, Caballero-Gil P, Smart contracts based on blockchain for logistics management. In: Proceedings of the 1st international conference on internet of things and machine learning
Schiller, Jerzy E, Niya SR, Timo S, Burkhard S (2019) Blockchain: a distributed solution to automotive security and privacy. IEEE 55
Butt TA, Iqbal R, Salah K, Aloqaily M, Jararweh Y (2019) Privacy management in social internet of vehicles: review, challenges and blockchain based solutions. IEEE Access 7
Lu Y (2018) Blockchain and the related issues: a review of current research topics. J Manage Analy IEEE 5
Valenta M, Sandner P (2017) Comparison of ethereum, hyperledger fabric and corda
Bonomo IS, Barbosa IR, Monteiro L, Bassetto C, DeBarros BA, Borges VRP, Weigang L (2018) Development of swim registry for air traffic management with the blockchain support. In: 2018 21st International conference on intelligent transportation systems (ITSC)
Duong T, Todi KK, Chaudhary U, Truong H-L (2019) Decentralizing Air traffic Flow management with blockchain-based reinforcement learning. In: 2019 IEEE 17th International conference on industrial informatics (IN-DIN)
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The research for this paper was supported by Umm Al-Qura University. We gratefully acknowledge the support and generosity of the University, without this study could not have been completed.
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Abuayied, S., Alajlan, F., Alghamdi, A. (2021). Implementing Blockchain in the Airline Sector. In: Hassanien, A.E., Darwish, A., Abd El-Kader, S.M., Alboaneen, D.A. (eds) Enabling Machine Learning Applications in Data Science. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-33-6129-4_27
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DOI: https://doi.org/10.1007/978-981-33-6129-4_27
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