AI-driven cybersecurity solutions for IoT: Challenges and future direction

Recent increase in the Internet of Things (IoT) devices adoption across different industries has been a result of the developed connectivity and automation. However, this growth has also opened up opportunities for the cyber attackers. Artificial Intelligence can be introduced to strengthen the IoT security by developing AI-based counter measures and timely detection of the anomalies and threats. This paper assesses the different AI-based techniques to identify and counter the cyber threats. The current state of AI-based security measures has been explored along with the associated challenges and limitations. Future directions for the improvement in cybersecurity by using advanced AI techniques have been outlined to secure the growing data communication in IoT.