Abstract
Fake media, also known as the Web of dishonest media, has emerged in a variety of areas of digital culture, including politics, media, and social networks. Due to the frequency with which the media’s credibility is threatened, radical measures are required to prevent further deterioration. IoFMT is becoming more common with today’s artificial intelligence and deep learning developments; however, such concessions to learning may be severely limited. In order to define ownership and integrity of all digital output, it is critical to present evidence of its authenticity. A blockchain is a digital ledger of distributed ledger technology. A promising new decentralized safety platform has been proposed in order to assist in dealing with the problem. In a data-driven environment, fake media’s technical component is crucial although several blockchain-based solutions for authentication have been presented. However, the majority of existing studies are based on irrational post-incident beliefs. This proposal proposes a preventative approach for IoFMT utilizing a blockchain-based solution, the suggested approach also incorporates a weighted-ranking algorithm to identify the truthfulness of misinformation while providing an incentive feature to encourage its dissemination. Although our approach focuses on fake news, the platform can also be used to create other kinds of electronic information. This position applies to a demonstration of the benefits of the solution proposed.
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Singh, R.R., Thakral, M., Kaushik, S., Jain, A., Chhabra, G. (2022). A Blockchain-Based Expectation Solution for the Internet of Bogus Media. In: Hemanth, D.J., Pelusi, D., Vuppalapati, C. (eds) Intelligent Data Communication Technologies and Internet of Things. Lecture Notes on Data Engineering and Communications Technologies, vol 101. Springer, Singapore. https://doi.org/10.1007/978-981-16-7610-9_28
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DOI: https://doi.org/10.1007/978-981-16-7610-9_28
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