This research examines cryptographic techniques to improve security in AIOT systems, highlighting existing vulnerabilities.
The convergence of Artificial Intelligence (AI) and Internet of Things (IOT) has inspired the emergence of artificial intelligence (AIOT) of things, a paradigm that integrates intelligent algorithms with interconnected equipment. While AIOT provides significant progress in automation and data processing, it introduces adequate safety challenges due to the transmission and processing of vast amounts of sensitive data. This research paper examines various cryptographic techniques that can be employed to increase security in the AIOT system. We analyze the weaknesses contained in AIOT architecture, discuss the role of cryptography in reducing these risks, and propose a framework to apply a strong cryptographic solution to the AIOT environment.
No takes yet. Share an insight, caveat, or question.
Suthar et al. (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: