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Saturday, July 17 • 10:00am - 11:00am
What Machine Learning Can and Can't Do for Security

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Most of us have heard vendors promoting products that use “machine learning.” But what does that mean? This is a general introduction to machine learning concepts and a discussion of applications to security. We begin by talking about commonly used terminology – what are artificial intelligence, neural networks, machine learning, and deep learning? How do they work?

What can machine learning do for security? A number of things. One major challenge is determining what’s normal and what’s malicious. Machine learning can help with this. For example, ML techniques are used in spam filtering scan email. Large email providers, e.g., Google and Yahoo, have intelligent systems that can create new spam filtering rules based on automated learning.

Machine learning is also being applied to other areas like network traffic monitoring and malware analysis. Traditional network intrusion detection (NIDS) and malware identification involve rules and signatures, where behavior associated with known threats is identified. But what about new threats, such as zero-day exploits? Anomaly-based detection compares traffic to normal behavior, and has the potential to detect previously unknown attacks with no established signature.
We present some examples of freely available machine learning software and walk through some simple use cases.

avatar for Wendy Edwards

Wendy Edwards

Programmer, ASPCA
Wendy is a software developer interested in the intersection of cybersecurity and data science. She’s involved in the NASA Datanauts program and participated in the SANS Women’s Academy, earning GIAC GSEC, GCIH, and GCIA certifications. She has masters degrees in computer... Read More →

Saturday July 17, 2021 10:00am - 11:00am PDT
Stage 3 https://app.hopin.com/events/2021-diana-initative/stages/cc11b940-c664-416f-a46f-760ae587decb