You’ve used them for directions, to order pizza, to ask about the weather. You’ve called them by their names Siri, Alexa, Cortana... You speak to them like you know them, like they can understand you. Why? Because they usually can. Intelligent assistants are on the rise and increasingly supporting our lives. In large part, this is driven by the user’s desire for ever more efficient querying and frictionless action. Instead of muddling through bloated interfaces, simply speaking or typing your queries or commands through a bot is often easier, faster, and seamless.
Long Short-Term Memory networks - a form of deep learning - are a basic yet powerful approach for detecting domain generation algorithms. We introduce this machine learning approach and how we implement it to detect DGAs at scale.
At this year's AISec conference, data scientist Bobby Filar presented co-authored work titled DeepDGA: Adversarially-Tuned Domain Generation and Detection. It was quickly evident that more conferences which focus on the intersection of machine learning and infosec are desperately needed.
In 2008, the number of internet-connected devices surpassed the number of people on the planet and Facebook overtook MySpace as the most popular social network. At the time, few people grasped the impact that these rapidly expanding digital networks would have on both national and cyber security.