Examining Privacy and Trust Issues at the Edge of Isomorphic IoT Architectures: Case Liquid AI
This research highlights the heightened threats to data integrity and stakeholder trust in these evolving ecosystems through an intensive examination of the literature, initiating a pioneering discourse emphasizing fostering a foundation for developing secure and trustworthy Liquid AI environments.
M. Agbese, Niko Mäkitalo, Muhammad Waseem et al.
· IoT · 6 citations
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