MOBILE APPLICATION SECURITY ANALYSIS MODEL BASED ON ARTIFICIAL INTELLIGENCE
DOI:
https://doi.org/10.26906/SUNZ.2025.1.124-128Keywords:
neural network, ML, DL, ANN, mobile application, cyber threat, firewallAbstract
The article considers the possibilities of using neural networks to ensure a secure environment for using devices.
It reviews several neural network architectures that are already used to prevent attacks by attackers, the main areas of attack
on mobile applications, and learning algorithms. It describes the features of using recurrent neural networks to analyze the
dangerous space. The results of the article show that neural networks can be an effective tool for preventing data loss and
hacker attacks. However, further research is needed to optimize the architecture and parameters of neural networks to improve
the accuracy of threat detection.
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