Authorization in IoT security refers to:
- Authenticating users
- Controlling access
- Encrypting data
- Secure device pairing
Authorization in IoT security involves controlling access to resources or actions. It determines what actions or data a user or device is allowed to access. It's a critical aspect of security to prevent unauthorized access and actions.
The storage requirements for IoT data are typically:
- Enormous and scalable
- Irrelevant for IoT data
- Minimal and easily manageable
- Moderate and consistent
The storage requirements for IoT data are typically enormous and scalable. IoT devices generate a continuous stream of data, and this data must be stored for analysis and decision-making. As the number of IoT devices and data volume grow, the storage infrastructure must be able to expand to accommodate the increasing data demands.
Which type of computing processes data closer to the data source in IoT?
- Centralized computing
- Cloud computing
- Distributed computing
- Edge computing
Edge computing is the type of computing that processes data closer to the data source in IoT. It's designed to reduce latency and enhance real-time data processing by moving computations closer to where the data is generated.
An advantage of using Linux-based operating systems for IoT devices is:
- Compatibility with proprietary software
- Enhanced security
- Extensive graphical interface
- Real-time performance
An advantage of using Linux-based operating systems for IoT devices is enhanced security. Linux offers robust security features and is open-source, allowing for customization and community support. While Linux can be configured for real-time performance, it's not a primary strength. Extensive graphical interfaces and compatibility with proprietary software may not always be necessary for IoT devices.
What is the primary difference between traditional networks and Wireless Sensor Networks (WSNs) when it comes to energy consumption?
- Traditional networks are wireless
- Traditional networks use less power
- WSNs require more hardware
- WSNs use energy-efficient protocols
WSNs typically have constrained energy sources and, as a result, need to use energy-efficient protocols and hardware to minimize energy consumption, which differs from traditional networks.
Fog computing is an extension of:
- Cloud computing
- Edge computing
- Mobile computing
- Quantum computing
Fog computing is an extension of cloud computing. It extends cloud capabilities to the edge of the network and brings processing closer to the data source. This helps in reducing latency and improving efficiency, making it suitable for IoT and other applications.
Device integrity in the context of IoT primarily refers to:
- Data availability
- Data confidentiality
- Device performance
- Trustworthiness of the device's components
Device integrity in IoT pertains to ensuring the trustworthiness of the device's components. This includes verifying that the hardware, software, and data haven't been tampered with, which is essential for maintaining the security of IoT devices.
Which programming language is often recommended for beginners in IoT development due to its simplicity and extensive libraries?
- Assembly
- Brainfuck
- Klingon
- Python
Python is often recommended for beginners in IoT development due to its simplicity, readability, and extensive libraries like MicroPython and CircuitPython designed for microcontrollers. Klingon, Brainfuck, and Assembly are not suitable for beginners due to their complexity and lack of IoT-specific libraries.
Which communication model in IoT refers to devices communicating directly with each other without human intervention?
- H2M (Human-to-Machine)
- M2H (Machine-to-Human)
- M2M (Machine-to-Machine)
- M2O (Machine-to-Object)
In the realm of IoT, M2M (Machine-to-Machine) communication is when devices autonomously communicate with each other without human intervention. This kind of communication is at the heart of the IoT concept, where devices exchange data and instructions seamlessly.
A smart city using sensors to manage traffic in real-time is an example of:
- H2H (Human-to-Human) communication.
- H2M (Human-to-Machine) communication.
- M2H (Machine-to-Human) communication.
- M2M (Machine-to-Machine) communication.
A smart city using sensors to manage traffic in real-time is an example of M2M (Machine-to-Machine) communication. In this scenario, sensors and machines (traffic management systems) communicate with each other to optimize traffic flow and enhance overall city efficiency without direct human involvement.