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Protecting Data Privacy and Prevent Fake News and Deepfakes in Social Media via Blockchain Technology

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Advances in Cyber Security (ACeS 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1347))

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Abstract

This paper presents a substantial review of the data privacy policy on social media and propose a trust index model to prevent fake news and deepfakes on social media using blockchain technology. Digital privacy on social media has become an imminent problem for the users and citizens of the world today. In February 2020, the World Health Organization (WHO) reported an infodemic relevant to coronavirus (COVID-19) fake news and deepfakes. This phenomenon has caused difficulty for global citizens in various countries to seek reliable guidance, and take appropriate countermeasures to prevent COVID-19, without resorting to public panic. The fears, anxieties and ambiguity caused by fake news, deepfakes and the lack of knowledge of COVID-19 have posted a very serious threat to public health. With an increasing appetite for verifiable truth on the Internet, the proposed trust index model can provide a more trustable, credible, reliable, transparent, and more secure fundamental fabric for our current society on social media.

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Author information

Authors and Affiliations

  1. Taylor’s University, Subang Jaya, Malaysia

    Tee Wee Jing & Raja Kumar Murugesan

Authors
  1. Tee Wee Jing
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  2. Raja Kumar Murugesan
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Corresponding author

Correspondence to Raja Kumar Murugesan .

Editor information

Editors and Affiliations

  1. National Advanced IPv6 Centre, Universiti Sains Malaysia, Penang, Malaysia

    Mohammed Anbar

  2. Hodeidah University, Hodeidah, Yemen

    Nibras Abdullah

  3. National Advanced IPv6 Centre, Universiti Sains Malaysia, Penang, Malaysia

    Selvakumar Manickam

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Jing, T.W., Murugesan, R.K. (2021). Protecting Data Privacy and Prevent Fake News and Deepfakes in Social Media via Blockchain Technology. In: Anbar, M., Abdullah, N., Manickam, S. (eds) Advances in Cyber Security. ACeS 2020. Communications in Computer and Information Science, vol 1347. Springer, Singapore. https://doi.org/10.1007/978-981-33-6835-4_44

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  • DOI: https://doi.org/10.1007/978-981-33-6835-4_44

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-6834-7

  • Online ISBN: 978-981-33-6835-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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