The need for an enhanced IoT-based malware detection model using Artificial Intelligence (AI) algorithm: A Review

Maidin, Siti Sarah
Yahya, Norzariyah

Data Science Insights
Vol. 1 No. 1 (2023): Journal of Data Science Insights

The interconnected world using technology has opened the door for cyberattacks. For example, the utilization of Internet of Things (IoT) devices has increased the exposure to malware attacks. The massive amount of data generated by the IoT devices leads to the possibility of infections in the network. Due to the diverse nature of the IoT devices and the ever-evolving nature of their environment, it can be challenging to devise very comprehensive security measures. Therefore, the application of Artificial Intelligence (AI) in detecting malware has gained attention as a suitable tool for detecting malware due to its strength in malware classification. This research aims to review malware detection in IoT devices using AI and its challenges.