YoVDO

Advanced Internet Dataset Combinations for Threat Hunting and Attack Prediction

Offered By: Security BSides San Francisco via YouTube

Tags

Security BSides Courses Data Analysis Courses Cybersecurity Courses Threat Hunting Courses

Course Description

Overview

Explore advanced Internet dataset combinations for threat hunting and attack prediction in this 31-minute conference talk from BSidesSF 2017. Learn to move beyond simple Whois and PDNS lookups, and noisy threat feeds. Discover how to combine SSL cert facet data with tracking IDs, host-pair relationships, and technology stack fingerprints to detect, verify, and stop adversaries' next attacks. Gain insights into analyzing potentially compromised users and determining if IP addresses, domain names, or URLs pose threats. The presentation covers traditional and modern data sets, operationalizing data, and includes examples and a demo, concluding with a comparison of techniques.

Syllabus

Introduction
Traditional data sets
Modern data sets
Operationalizing data
Examples
Demo
Comparison


Taught by

Security BSides San Francisco

Related Courses

Computer Security
Stanford University via Coursera
Cryptography II
Stanford University via Coursera
Malicious Software and its Underground Economy: Two Sides to Every Story
University of London International Programmes via Coursera
Building an Information Risk Management Toolkit
University of Washington via Coursera
Introduction to Cybersecurity
National Cybersecurity Institute at Excelsior College via Canvas Network