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us-15-Saxe-Why-Security-Data-Science-Matters-And-How-Its-Different.pdf

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Unfortunately, there is still a gap between the security and data science communities: security professionals often have limited knowledge of data science, and security data scientists often come from non-security backgrounds and may not understand why security data science is different than the solutions taught in traditional machine learning and visualization programs. In my talk, I will bridge this gap, speaking to both audiences, discussing the challenges and opportunities posed by applying data science to security, demonstrating exciting results achieved by my research group, and empowering attendees to apply security data science in new and powerful ways. The first part of the talk will provide a non-mathematical overview of security data science, introducing state of the art data visualization and the big three machine learning tasks (classification, clustering and regression). For each of the topics, I will give examples of how my colleagues and I have successfully applied the topic to problems like attack detection, threat intelligence, malware analysis and scalable malware analytics. The second part of the talk will cover both major security-specific data science challenges and solutions to these challenges. One challenge is that malicious activity exists as a needle in the haystack of terabytes of benign data, causing textbook data science methods, which are often not designed for such scenarios, to generate reams of false positives. Another challenge is the inevitable lack of access to 0-day attack data with which to train machine-learning approaches. I will go over multiple mitigations for both of these problems, including statistical methods designed to generalize to new attacks and minimize false positives, and will show how these methods have performed impressively in detecting 0-day malware in my groups work. The third part of my talk will address security data visualization, discussing my groups ongoing and past log visualization, malware analysis... Read more↗

Size93.16MB
Content typeapplication/pdf
Updated6 months ago
Checked2 weeks ago
Hostwww.blackhat.com
Keywordsus saxe why security data science matters and how its different pdf
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