Advancing Internet Security Research with Big Data and Graph Databases

Presented at BSidesLV 2015, Aug. 5, 2015, noon (25 minutes).

The OpenDNS IntelDB is a graph database system that captures and stores all security-related data for the entire organization. In addition to providing valuable data such as whitelisting and threat attribution, this system is the foundation for the next generation of security research at OpenDNS. The presentation will give a brief overview of the system and then focus on how it has influenced security research at OpenDNS.

Presenters:

• Andrew Hess - Software Engineer - OpenDNS
  Andrew Hess is a software engineer on the Research Systems team at OpenDNS where he works to quantify the company's security intelligence and provide tools to make researchers as effective as possible. Andrew graduated from Washington University with majors in Systems Engineering and Electrical Engineer.

Links:

• https://bsideslv2015.sched.com/event/3ulm/advancing-internet-security-research-with-big-data-and-graph-databases
• https://infocon.org/cons/Security BSides/BSides Las Vegas/BSides Las Vegas 2015/Advancing Internet Security Research with Big Data and Graph Databases Andrew Hess.mp4
• https://www.youtube.com/watch?v=BvsWOAcyJOA

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• 31C3 (2014) / Mining for Bugs with Graph Database Queries
• DEF CON 29 (2021) / The Unbelievable Insecurity of the Big Data Stack: An Offensive Approach to Analyzing Huge and Complex Big Data Infrastructures
• Black Hat USA 2022 / All Your GNN Models and Data Belong to Me