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Making Wireless Sensor Networks More Secure with AI Our research enhances the security of Wireless Sensor Networks (WSNs), which are widely used in healthcare, environmental monitoring, and industry. These networks face risks like hacking and malware attacks. Using artificial intelligence (AI), specifically the Random Forest algorithm, we improve threat detection by identifying unusual activity that may indicate a breach. This AI-driven approach strengthens cybersecurity, making WSNs more reliable and secure for real-world applications.

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This page is a summary of: Enhancing network security in wireless sensor networks using artificial intelligence: A random forest approach, January 2025, American Institute of Physics,
DOI: 10.1063/5.0258927.
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