Deep in the dark: enhancing malware traffic detection with deep learning Tryolabs Blog

The IEEE Symposium on Security and Privacy (IEEE S&P) is one of the top-tier conferences in computer security and electronic privacy. This year, the IEEE S&P was held in May, in San Francisco. It was not a regular edition, as this flagship conference marked its 40th anniversary. This year's symposium was a special celebration that included a plenary session with some exceptional panelists from the S&P community, Test of Time awards for papers that have made a lasting impact on the field, and even an amazing birthday cake! I had the pleasure of presenting two research papers at two different workshops while at the conference: the Deep Learning and Security Workshop (DLS 2019) and the Workshop on Traffic Measurements for Cybersecurity (WTMC 2019). Both papers were based on my master's thesis, that I developed for the most part when I was a research intern at the Austrian Institute of Technology (AIT) in Vienna, Austria.