Abstract
Intelligent systems, machine learning models, and artificial intelligence methods are increasing in complexity, and the integration of such technologies has also increased. However, the rise in the adoption of intelligent systems has raised many challenges, including increased attack surfaces, which has resulted in a greater number of cyber threats. Thus, we investigate and analyze potential threats against intelligent systems and their components, and we identify attacks that can occur against the data and related processes used in intelligent systems. The resultant attack model is shown to contain threats that can affect confidentiality, integrity, and availability of intelligent systems.
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