Application of Artificial Intelligence (AI) Model to Mitigate Security threats of Internet of Things (IoT): A Review

Abstract

The convergence of the Internet of Things (IoT) and Artificial Intelligence (AI) is transforming data and technology exchange across a number of industries, including smart cities, transportation, healthcare, and agriculture. Adoption of IoT has transformed many industries, but it has also sparked worries about security flaws in network integrity, authentication, and data privacy. AI models have proven to be a pro active and successful means to deal with these security issues in IoT networks. AI-based solutions are essential to mitigate security risks in Internet of Things settings because they include advanced features like behaviour analysis, anomaly identification, and threat prediction. This artificial intelligence (AI)-driven solutions improve behaviour analysis, anomaly detection, and real-time threat detection, protecting networks against cyberattacks and guaranteeing data security, privacy, and confidentiality. To maximise the benefits of AI in mitigating IoT security issues and fostering confidence in IoT technology, future efforts should concentrate on overcoming current limitations and challenges in AI for IoT security, exploring potential developments and research directions, and addressing ethical and regulatory considerations.

Keywords — Internet of Things (IoT), Cyberattack, Artificial Intelligence (AI), Security threats, Authentication, Data privacy, Network integrity, Anomaly Detection, Predictive Analytics, Machine Learning Algorithms, Intrusion Detection Systems (IDS).