Malware is now recognized as the severe threat for commercial and critical IT systems (e.g., financial sector), but also for citizens (e.g., mobile malware). The importance of detecting malware is increasing since attacks evolve, and we can observe more and more sophisticated types and attack vectors, such as ransomware, mobile malware etc. One of the recent and growing threats is coming from the use of hidden information and so called stegomalware.
The main aim of this special session is to bring together researchers and scientists working on malware detection, stegomalware, machine learning for cyber security, as well as on explainable and secure AI in the context of cybersecurity. The special session is supported by H2020 project SIMARGL.
The list of possible topics includes, but is not limited to: