Blackbox Android Malware Detection Using ML and Evasion Attacks Techniques

Explore cutting-edge techniques for Android malware detection in this conference talk from DefCamp Cluj-Napoca 2024. Presented by Razvan Bocu, Associate Professor Dr. at Transilvania University of Brașov and Siemens Industry Software, delve into the world of blackbox detection methods utilizing machine learning and evasion attack techniques. Gain insights into the latest advancements in cybersecurity for mobile platforms, understanding how these approaches can be applied to identify and mitigate threats in Android ecosystems. As part of the first spin-off edition of Central and Eastern Europe's most significant hacking and cybersecurity conference, this presentation offers valuable knowledge for infosec experts, software developers, and cybersecurity enthusiasts alike. Learn from a gathering that has attracted over 12,000 participants from more than 60 countries, focusing on hacking, vulnerabilities, and technical skill development in the ever-evolving field of digital security.

Blackbox Android Malware Detection Using ML & Evasion Attacks Techniques at DefCamp Cluj-Napoca 2024