AI and Cybersecurity

AI and Cybersecurity

1. Privacy-Centric AI and IoT Solutions for Smart Rural Farm Monitoring and Control

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Citation:

Rahaman, M., Lin, C.-Y., Pappachan, P., Gupta, B. B., & Hsu, C.-H. (2024). Privacy-Centric AI and IoT Solutions for Smart Rural Farm Monitoring and Control. Sensors (14248220), 24(13), 4157. https://doi.org/10.3390/s24134157

Who: Farmers and agricultural technology providers are leveraging AI and IoT solutions to enhance farm operations.

What: Privacy-centric AI and IoT technologies enable real-time monitoring and control of crop and livestock health, resource usage, and environmental conditions.

Where: These solutions are being implemented on rural farms, where maintaining data privacy and operational efficiency is crucial.

Why: Protecting farmers’ data while improving productivity and sustainability is essential to secure trust and optimize farming practices.

When: 2024

How: Privacy-centric approaches like edge computing, federated learning, and secure IoT networks allow data to be processed and shared securely, enhancing farm management without compromising data privacy.

1. Quantum Optics and channel coding in imaging

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Citation: AI and Cybersecurity

Chen, L., Xu, Y., Wen, H., Chen, Z., & Hou, W. (2024). Quantum optics and channel coding in imaging: advancements through deep learning. Optical & Quantum Electronics, 56(4), 1–23. https://doi.org/10.1007/s11082-024-06338-2

Who: Researchers in quantum optics and information theory are exploring deep learning techniques to advance imaging technology,

What: This research combines quantum optics and channel coding with deep learning to improve image resolution signal detection and noise reduction.,

Where: These advancements are primarily being developed in academic and research institutions focused on physics computer science and engineering. AI and Cybersecurity,

Why: Improving imaging through quantum optics and channel coding has potential applications in medical imaging security and scientific research where high accuracy and efficiency are critical.,

When: 2024

How: Deep learning models are applied to quantum-optical data and coded channels to process and reconstruct images with enhanced clarity and reduced interference,

1. The cybersecurity mesh: A comprehensive survey of involved artificial intelligence methods, cryptographic protocols and challenges for future research.,