Hybrid security for IoT networks: from traditional security solutions to AI security
Rajeev Goyal, Samta Jaın Goyal, Madhavi Dhingra, Shyam Sunder Gupta, Daniel Arockiam · 2024
The Internet of Things (IoT) is a growing network of physical objects that are connected to the Internet and can communicate with each other. The security of IoT devices and networks is of paramount importance, as they can be vulnerable to cyberattacks, data breaches, malware, and other security threats. The increasing number of security threats, such as cyberattacks, data breaches, and privacy concerns, has highlighted the importance of ensuring the security and privacy of IoT networks. A hybrid security framework that combines traditional security solutions with machine learning and AI-based security solutions is designed to address the unique security challenges posed by IoT networks. The hybrid framework can provide a high level of protection for sensitive data and help to prevent unauthorized access or theft. In addition, it can also provide comprehensive security coverage and efficient utilization of computational resources.