11
Distinguishing Facts from Myths
1.5 CONCLUSION
Blockchain will have an effect on any field it crosses, from supply chains to human
resources. Myths about what DLT is and how it operates, on the other hand, continue
to dissuade companies from taking advantage of its much greater ability for pro-
gressive change. There is apprehension about blockchain technology. Nevertheless,
myths about DLT impede companies from leveraging its far-reaching possibilities
and limit its positive impact on change. The fear factor associated with blockchain
technology has spread into its use in cryptocurrency technology. This chapter reveals
the most common misconceptions that persist about blockchain technology. It elabo-
rates the misconceptions about blockchain and its capabilities by taking a closer
look at the reality. Furthermore, it reveals the shortcomings of blockchain, allowing
a more accurate understanding of the technology.
REFERENCES
1. Yaga, D., Mell, P., Roby, N., & Scarfone, K. (2018). Blockchain Technology Overview.
National Institute of Standards and Technology (NIST). Available at: https://doi.org/10.
6028/NIST.IR.8202.
2. Mohan, C. (2019). State of public and private blockchains: Myths and reality. In
Proceedings of the 2019 International Conference on Management of Data SIGMOD
19, Association for Computing Machinery, New York, NY, USA, pp. 404–411.
DOI:https://doi.org/10.1145/3299869.3314116.
3. Garriga, M, Dalla Palma, S, Arias, M, De Renzis, A, Pareschi, R, & Andrew Tamburri,
D. (2021). Blockchain and cryptocurrencies: A classification and comparison of archi-
tecture drivers. Concurrency and Computation: Practice and Experience, 33, e5992.
https://doi.org/10.1002/cpe.5992.
4. Kaur, S., Chaturvedi, S., Sharma, A., & Kar, J. (2021). A research survey on applica-
tions of consensus protocols in blockchain. Security and Communication Networks,
2021, 6693731, 22 pages. https://doi.org/10.1155/2021/6693731.
5. Beck, R., Czepluch, J.S., Lollike, N., & Malone, S. (2016). Blockchain: The Gateway to
Trust-Free Cryptographic Transactions. ECIS.
6. Bhargava, D., & Vyas, S. (Eds.). (2019). Pervasive Computing: A Networking
Perspective and Future Directions. Springer.
7. Woebbeking, M.K. (2019). The impact of smart contracts on traditional concepts of
contract law. JIPITEC, 10, 105. https://www.jipitec.eu/issues/jipitec-10-1-2019/4880.
8. Singh, S., Sharma, A., & Dr. Jain, P. (2018). A detailed study of blockchain: Changing
the world. International Journal of Applied Engineering Research, 13(14), 11532–
11539. ISSN 0973-4562 © Research India Publications.
9. Panwar, & Bhatnagar, V. (2020). Distributed ledger technology (DLT): The beginning
of a technological revolution for blockchain. In 2nd International Conference on Data,
Engineering and Applications (IDEA) (pp. 1–5), Bhopal, India https://doi.org/10.1109/
IDEA49133.2020.9170699.
10. Sarmah, S. (2019). Application of blockchain in cloud computing. International Journal
of Innovative Technology and Exploring Engineering, 8, 2278–3075. https://doi.org/10.
35940/ijitee.L3585.1081219.
11. Gupta, S., Vyas, S., & Sharma, K. P. (2020, March). A survey on security for IoT via
machine learning. In 2020 International Conference on Computer Science, Engineering
and Applications (ICCSEA) (pp. 1–5). Gunupur, India: IEEE.