Intro to Data Science for Security

Presented at BSidesLV 2015, Aug. 5, 2015, 2 p.m. (115 minutes)

In this workshop, students will learn basics of data science as they apply to analyzing common security-related data. Prediction & forecasting, anomaly detection, interaction graph analysis, and clustering will be demonstrated as tools for incident response, forensics, and planning.

Presenters:

• Alex Shagla-McKotch
  Alex is a senior security consultant at Rapid7, and former US Cyber Quests champion. He has extensive background in data science applied to security, as well as penetration testing, and fuses them to create advanced methodologies.
• Rob Bird - Challenges? Let's talk! - Technology Entrepreneur & Big Data Scientist
  Rob leads Big Data platform architecture for Akamai, building compute, storage, and transport systems processing over an exabyte a year. He is the Chair of the Akamai Center of Excellence in Machine Learning, founder of the BSides Ground Truth track, and author of the Blarpy anomaly detection tool. Additionally, he brings academics to reality as co-editor of the Journal of Big Data. He is also the founder of Red Lambda, and its former CTO.

Links:

• https://bsideslv2015.sched.com/event/3ufa/intro-to-data-science-for-security
• https://infocon.org/cons/Security BSides/BSides Las Vegas/BSides Las Vegas 2015/Intro to Data Science for Security Rob Bird Alex Shagla McKotch.mp4

Similar Presentations:

• DeepSec 2019 „Internet of Facts and Fears“ / What Has Data Science Got To Do With It?
• BSidesLV 2016 / Data Science or Data Pseudo-Science? Applying Data Science Concepts to Infosec without a PhD
• Black Hat USA 2015 / Why Security Data Science Matters and How It's Different: Pitfalls and Promises of Data Science Based Breach Detection and Threat Intelligence