FloCon 2021 Presentations and courses
• Collection
Publisher
Software Engineering Institute
Abstract
Video recordings of presentations and courses from the virtual FloCon 2021 conference.
Collection Items
FloCon 2021 Keynote Address: Using Data to Defend
• Video
By Software Engineering Institute
Dr. Lauren Deason of Facebook delivers the Keynote Address for FloCon 2021: "Using Data to Defend"
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InSightNG: A System for Improving the Analyst Workflow Using Behavior Based Host Detection
• Presentation
By Angel Kodituwakku (The University of Tennessee Knoxville), Eboni Thamavong (X8)
This presentation describes a scalable distributed system to identify hosts based on behavior rather than addresses.
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GHOSTS in the Machine: Orchestrating a Realistic Cybersecurity Exercise Battlefield
• Presentation
By Dustin D. Updyke
This presentation introduces the non-player character framework called “General HOSTS,” or GHOSTS, developed to improve the realism of cyber-training environments.
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How Cyber Insurance Companies Determine Cyber Risk
• Video
By Software Engineering Institute
To develop an accurate and useful cybersecurity score, we need a holistic understanding of the risk environment. This talk will discuss the typical avenues companies currently use to determine cyber …
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Real-Time, Data-Driven Risk Management
• Video
By Software Engineering Institute
This presentation demonstrates a Splunk-based solution for monitoring NIST 800-53 Rev. 4 security controls and supporting Risk Management Framework workflows.
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Microservice-Aware Reference Monitoring through Hybrid Program Analysis
• Presentation
By Teryl Taylor (IBM Research)
Presents a microservice-aware reference monitor (MRM) for enforcing stateful security policies over lightweight system call traces produced by the SysFlow pipeline.
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A Pluggable Edge-Processing Pipeline for SysFlow
• Presentation
By Teryl Taylor (IBM Research)
This presentation introduces a new stream processing and edge analytics pipeline for SysFlow.
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Traffic Analysis for Website Prediction
• Video
By Software Engineering Institute
Shows how network traffic analysis be performed by looking at network traffic metadata, and discusses other ways to prevent website fingerprinting attacks.
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Applying Text Analytics to Insider Threat Detection
• Video
By Dan Costa, Carrie Gardner
In this talk, we discuss how text analytics can be used to enhance an organization's insider risk management practices, highlight the state of the practice, identify current limitations, and present …
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Characterizing Packet Linearity
• Video
By Software Engineering Institute
Using features of network flow metadata, we propose a method for producing a generalizable baseline to support operational analysis on established networks.
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Introduction to Data Science - Concepts & Techniques
• Video
By Andrew Fast, PhD (CounterFlow AI)
This course provides an accessible introduction to foundational data science concepts, terminology, and approaches using cybersecurity examples and use cases.
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Cybersecurity Data Science (CSDS): Emerging Trends
• Video
By Scott Mongeau (SAS)
Cybersecurity Data Science (CSDS) encompasses the rapidly growing practice of applying data science to prevent, detect, and remediate cybersecurity threats.
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Collecting Wire Data at Household Speeds
• Video
By Software Engineering Institute
With a focus on network defense, this talk will review some of the ways that have been used to collect, collate, and analyze wire data and other data on the …
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Intrusion Analysis and Threat Hunting with Open Source Tools
• Video
By Josh Stroschein (Open Information Security Foundation - OISF)
This workshop teaches intrusion analysis and threat hunting with open source tools such as Suricata and Moloch to detect network compromises and breaches.
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Improving Cyber Security Operations Through Security Data Discipline
• Video
By Software Engineering Institute
Security Data Discipline is an analytical framework that helps security teams collect and use the right data to defend networks more effectively.
WatchThis content was created for a conference series or symposium and does not necessarily reflect the positions and views of the Software Engineering Institute.