The Impact of Artificial Intelligence on Anomaly Detection in Android: A Survey
Houssem Lahiani, Mondher Frikha · 2023
Android is a widely used mobile platform with over 2 billion active users worldwide, which makes it is an ideal target for harmful actions such as malicious software programs production and distribution. Malware creators and developers are progressively using complicated and evasive anomalies. As a result, typical malware detection systems have become vulnerable to these attacks. As the threat landscape grows, the application of Artificial Intelligence (AI) technologies in anomaly detection has attracted the attention of a growing number of professionals and academics. The influence of AI techniques on anomaly detection in the Android environment is investigated in this study. Machine learning, deep learning and data mining techniques are being examined into this work as an AI-based methodologies for anomaly detection on Android. We investigate the advantages, disadvantages and challenges associated with various methodologies. We present also future research opportunities in this paper. The survey aims to offer a full understanding of the impact of AI on anomaly detection on Android.