Abstract: This work investigates the use of Federated Learning (FL) techniques for intrusion detection in IoT device networks, analyzing the behavior of the FedAvg, FedProx, and FedAdam algorithms ...
Understand the basic building blocks of the internet of things ecosystem, including devices, communication, and data. Learn ...
AZoRobotics on MSN
AI-powered solar robot detects crop diseases in real time
This study presents a solar-powered robot integrating AI and IoT for real-time plant disease detection, offering a scalable solution for sustainable farming.
Combining IoT and blockchain creates a powerful system where connected devices can share data securely and transparently.
Abstract: The robustness of Internet of Things (IoT) topologies measures a network structure’s tolerance to random failures, or attacks, which is crucial for stable network communication. Research on ...
A Nigerian-born cybersecurity researcher, Taiwo Ogunseyi, is playing a crucial role in enhancing the security of ...
Description Just like the Web/AI tracks, we need a learning path for IoT so members can build these devices. Tasks [ ] Add "IoT / Embedded" to data/roadmaps.json (from the Discipline module). [ ] ...
Understanding the seamless communication within a smart home ecosystem where IoT devices and home automation trends connect to create an intelligent, efficient living space. Pixabay, cloudlynx Smart ...
A slew of wireless and increasingly multi-modal sensors is being targeted at the Industrial Internet of Things (IIoT), setting the stage for significant improvements in efficiency, higher yield, and ...
Internet of Things (IoT) devices are everywhere, from smart cameras in our offices to sensors on factory floors. While this connectivity promises efficiency, it also dramatically expands our attack ...
The threat landscape continues to grow. Every connected sensor, camera, and appliance expands the attack surface. In 2025, cybersecurity experts warn that IoT security is at an inflection point. The ...
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