YoVDO

Bad Neighborhoods – Data-Driven Detection of Malicious Internet Infrastructure

Offered By: BSidesLV via YouTube

Tags

Security BSides Courses Data Analysis Courses Cybersecurity Courses Threat Intelligence Courses

Course Description

Overview

Explore data-driven techniques for detecting malicious internet infrastructure in this 50-minute conference talk from BSidesLV 2021. Delve into the concept of "Bad Neighborhoods" as presenter Tamás Vörös demonstrates how to identify and analyze clusters of malicious activity on the internet. Learn about cutting-edge methods for recognizing patterns, tracking suspicious network behavior, and implementing proactive security measures to protect against emerging threats. Gain valuable insights into the latest advancements in cybersecurity and network defense, applicable for both security professionals and enthusiasts looking to enhance their understanding of modern threat detection strategies.

Syllabus

GT - Bad Neighborhoods – data-driven detection of malicious internet infrastructure


Taught by

BSidesLV

Related Courses

Social Network Analysis
University of Michigan via Coursera
Intro to Algorithms
Udacity
Data Analysis
Johns Hopkins University via Coursera
Computing for Data Analysis
Johns Hopkins University via Coursera
Health in Numbers: Quantitative Methods in Clinical & Public Health Research
Harvard University via edX