TinyML based smart intrusion detection methods using edgeAI – A Review

Author(s)	Dr. MADHUKAR BANGALORE NAGARAJ, Mr. Shreyas Basavaraj shettar, Shashidhar thammanna Shirakanahalli, preetam prakash mudhol, bheemareddy desh pande
Country	India
Abstract	IoT devices like smart sensors are constantly under threat from hackers, but they have very small batteries and weak processors, making it hard to run security software on them. To solve this, researchers created SMEESI (Smart Monitoring Embedded Edge Security Intelligence), a tiny AI-powered security system that can run on these small devices without draining their battery. It uses lightweight AI to detect attacks and smartly adjusts its power usage depending on the threat level, using less energy when things are calm and more when danger is detected. The results were strong, as it used 78% less power, detected 94.3% of attacks, and needed 65% less memory compared to traditional systems. It was successfully tested in smart buildings, hospitals, and factories. Overall, SMEESI makes IoT devices safer, longer-lasting, and more environmentally friendly at the same time.
Keywords	smart, edge, security, power.
Field	Engineering
Published In	Volume 8, Issue 3, May-June 2026
Published On	2026-05-05

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