SEC595: Applied Data Science and AI/Machine Learning for Cybersecurity Professionals

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Contact UsThey go by several names: Bloatware. Trialware. Pre-installation-ware. Some of them are completely innocuous. Many are designed to automate harvesting of information from the user. The line between these 'unwantedware' and malware is thinning. Whether they arrive in our networks from a less-than-perfect supply chain, or as a natural result from Bring-Your-Own-Device (BYOD) policies, or even as an aggressive customer support 'service' from the manufacturer, unwantedware shall exist. On the best of days, network defenders will identify, mitigate, and remove said software from their organization in the hopes that it cannot come back. Unfortunately, these herculean efforts are not enough. Users will ignore warnings from the security administrators. Users will pay lip service to the security training their organization provides. Users will rationalize intrusions into their devices through a myriad of worthless excuses: 'I'm really boring', or 'Anyone who wants to spy on me will have a lot of nothing to do', or 'I'm really ugly, turning on my webcam would hurt THEM.' Time and again users have shown that they are incapable of understanding the risks involved, they must be trained to dislike being spied on. In this paper we will examine unwanted data exfiltrations initiated by software we are told to trust, be it prepackaged software, chatty smartphone apps, or smart television applications. We will also present methods for detecting said exfiltrations, determining what data is being sent, and alerting the user in a meaningful way.