Digital Footprints: What Can be Learned from the Traces We Leave on Social Networks
• Webcast
Publisher
Software Engineering Institute
Topic or Tag
Watch
Abstract
Social networks have become part of our daily lives. We browse, share, “like,” and generally communicate with friends using these tools every day. In the midst of all this, we rarely stop to consider how much information about ourselves we are freely handing over to the social network companies. This information, called “metadata,” contains an incredibly rich—and often frighteningly detailed—view of some of the most personal aspects of our lives.
In this first webcast in a two-part series, we described what metadata is and what information can be gleaned from it.
Specifically, we discussed:
• How metadata gets generated
• How it can be used to uncover extensive personal information
• Steps you can take to protect your privacy
About the Speaker
Carson Sestili
Carson Sestili is an SEI alumni employee.
Carson Sestili is a machine learning research scientist in the CERT Data Science group, where he uses data science, statistics, and machine learning for research in cybersecurity and intelligence. His work at CERT has involved applying machine learning for problems in satellite image …
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