Secure boot in IoT devices primarily aims to protect the device from unauthorized firmware, ensuring that only trusted code is executed during bootup. This helps safeguard against malicious software and unauthorized access.

GDPR primarily affects IoT devices by imposing strict data protection and privacy requirements. IoT devices often collect and process personal data, making GDPR compliance crucial.

The integration of conductive fabrics in clothing has enabled the development of smart garments in the wearable IoT sector. Conductive fabrics allow for the integration of sensors, microcontrollers, and power sources directly into clothing, enabling features like temperature monitoring, fitness tracking, and communication in the form of smart textiles.

FreeRTOS is a real-time operating system (RTOS) that is commonly used in IoT devices. RTOS is essential for managing tasks with strict timing requirements in IoT applications. Windows 10, Ubuntu, and MacOS are general-purpose operating systems not designed for real-time tasks.

MQTT (Message Queuing Telemetry Transport) is a widely used framework for connecting and managing IoT devices. It provides a lightweight, efficient communication protocol for IoT. CoAP, IoTivity, and AllJoyn are also IoT protocols and frameworks.

Compromised bootloaders can be detected using digital signatures. Digital signatures verify the authenticity and integrity of the bootloader code, ensuring it hasn't been tampered with before executing it during the boot process.

AWS IoT Core is a platform that allows securely connecting and managing IoT devices. It provides a suite of services for IoT, including device registration, communication, and data processing in the cloud. Cloud computing services, developing mobile applications, and managing databases are related but not the primary purpose of AWS IoT Core.

M2H (Machine-to-Human) communication involves machines or devices communicating with humans. Your smartphone notifying you of low battery is a clear example of this. It's a machine (smartphone) alerting a human (you) about an important status change, which is a common use case in IoT.

To ensure that machinery operates within safe temperature ranges, a manufacturing company should implement real-time monitoring and control systems. These systems use sensors to continuously measure the temperature of machinery and can automatically adjust operations or send alerts in case of temperature deviations, ensuring safety and efficiency.

The primary advantage of edge computing in IoT is to reduce latency by processing data closer to the data source. This reduces the time it takes to analyze and act upon data, making it especially valuable in applications where real-time or near-real-time processing is critical.