Digital twins (DTs) are an emerging digitalization technology with a huge impact on today's
innovations in both industry and research. DTs can significantly enhance our society and …

Malicious applications (particularly those targeting the Android platform) pose a serious
threat to developers and end-users. Numerous research efforts have been devoted to …

Nowadays, Artificial Intelligence (AI) is widely applied in every area of human being's daily
life. Despite the AI benefits, its application suffers from the opacity of complex internal …

Nowadays, our security and privacy are strongly threatened by malware programs which
aim to steal our confidential data and make our systems out of service, among other things …

Explainable Artificial Intelligence (XAI) aims to improve the transparency of machine
learning (ML) pipelines. We systematize the increasingly growing (but fragmented) …

The popularity and flexibility of the Android platform makes it the primary target of malicious
attackers. The behaviors of malware, such as malicious charges and privacy theft, pose …

Recently, the frequency and complexity of ransomware attacks have been increasing
steadily, posing significant threats to individuals and organizations alike. While traditional …

Currently, Android malware detection is mostly performed on server side against the
increasing number of malware. Powerful computing resource provides more exhaustive …

Android has rapidly become the most popular mobile operating system because of its open
source, rich hardware selectivity, and millions of applications (Apps). Meanwhile, the open …

Machine learning (ML)-based Android malware detection has been one of the most popular
research topics in the mobile security community. An increasing number of research studies …