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Machine Learning for Intrusion Detection

Master the most important use cases for preventing hackers, spammers and criminals from entering your network uninvited.

5 videos  //  11 minutes of training

Course description

This course will show you how to prevent intrusion into your network, your inbox or your bank account. You will be building an IDS, a spam filter and a classifier for fraudulent financial transactions — cybersecurity infrastructure we couldn’t do without.

Course syllabus

OverviewDuration: 1:07

Spam FilteringDuration: 1:22

Capturing Network TrafficDuration: 1:50

Network Behavior Anomaly DetectionDuration: 2:56

Detecting Financial FraudDuration: 3:49

Meet the author

Emmanuel Tsukerman

LinkedIn

Dr. Tsukerman graduated from Stanford University and UC Berkeley. In 2017, his machine-learning-based anti-ransomware product won Top 10 Ransomware Products by PC Magazine. In 2018, he designed a machine-learning-based malware detection system for Palo Alto Network's WildFire service (over 30,000 customers). In 2019, Dr. Tsukerman authored the Machine Learning for Cybersecurity Cookbook and launched Infosec Skills Cybersecurity Data Science learning path.

You're in good company

"Comparing Infosec to other vendors is like comparing apples to oranges. My instructor was hands-down the best I’ve had." 

James Coyle

FireEye, Inc.

"I knew Infosec could tell me what to expect on the exam and what topics to focus on most."

Julian Tang

Chief Information Officer

"I’ve taken five boot camps with Infosec and all my instructors have been great."

Jeffrey Coa

Information Security Systems Officer

Plans and pricing

Personal

$299

Annually

Teams

$599 / license

Annually. Includes all content plus team admin and reporting.