IA Technologies for Cybersecurity and IoT (1ed.2024)
Universidad Nacional de Educación a Distancia
The Internet of Things (IoT) is a network of physical devices, vehicles, buildings and other objects connected to the Internet that collect and share data. IoT has the potential to transform many aspects of our lives, from the way we live and work to the way we relate to the world around us. Especially in the rural environment, where it is one of the main approaches to digitization and a lever for change. However, it also presents significant security challenges.
IoT devices often have limited resources, which makes them vulnerable to attacks. Especially in rural environments, where these limitations are increased. In addition, IoT devices are often connected to open networks, making it easy for attackers to access them. As a result, IoT devices are an attractive target for cybercriminals.
In recent years, there have been significant advances in IoT cybersecurity. These improvements have focused on the development of new technologies and solutions that can help protect IoT devices from attacks.
One of the most prominent trends in IoT cybersecurity is the use of artificial intelligence (AI). AI can be used to detect and respond to attacks against IoT devices more effectively than traditional techniques. For example, AI can be used to analyze IoT device data for suspicious patterns, or to generate alerts if attacks are detected.
Another important trend in IoT cybersecurity is the development of new security architectures. These architectures are designed to improve the security of IoT devices by design. For example, some security architectures include self-healing mechanisms that can repair IoT devices that have been infected by malware.
These advances in IoT cybersecurity are helping to protect IoT devices from attacks. However, it is important to continue to research and develop new technologies and solutions to keep IoT devices secure in the future.
IoT cybersecurity is a complex field that requires a thorough understanding of the technologies and threats. This course aims to provide a broad foundation of IoT cybersecurity technologies and specific AI-based solutions.
IoT devices often have limited resources, which makes them vulnerable to attacks. Especially in rural environments, where these limitations are increased. In addition, IoT devices are often connected to open networks, making it easy for attackers to access them. As a result, IoT devices are an attractive target for cybercriminals.
In recent years, there have been significant advances in IoT cybersecurity. These improvements have focused on the development of new technologies and solutions that can help protect IoT devices from attacks.
One of the most prominent trends in IoT cybersecurity is the use of artificial intelligence (AI). AI can be used to detect and respond to attacks against IoT devices more effectively than traditional techniques. For example, AI can be used to analyze IoT device data for suspicious patterns, or to generate alerts if attacks are detected.
Another important trend in IoT cybersecurity is the development of new security architectures. These architectures are designed to improve the security of IoT devices by design. For example, some security architectures include self-healing mechanisms that can repair IoT devices that have been infected by malware.
These advances in IoT cybersecurity are helping to protect IoT devices from attacks. However, it is important to continue to research and develop new technologies and solutions to keep IoT devices secure in the future.
IoT cybersecurity is a complex field that requires a thorough understanding of the technologies and threats. This course aims to provide a broad foundation of IoT cybersecurity technologies and specific AI-based solutions.
Information
Language: Spanish
Self-paced
Duration: 0 weeks
Hours of study: 25 hours
EQF-Level: EQF level 1
Rights: Other
Requirements: Yes
Free of charge
Delivery mode: Learn anywhere online
QA: Yes
Massive
Full course experience
