Machine Learning for Social Engineering Course

Expand the impact of your social engineering by arming yourself with the latest machine learning-based social engineering tools and methods.

17 minutes

Course description

This course will cover some of the latest breakthrough machine learning techniques in social engineering. You will learn automated spearphishing, speech recognition and impersonation, deepfake video creation and fake video detection, and automatic personality analysis.

Syllabus

Personality Analysis

Video - 00:02:00
Fake Image and Video Detection

Video - 00:03:00
Deepfake

Video - 00:03:00
Voice Impersonation

Video - 00:02:00
Speech Recognition

Video - 00:02:00
Twitter Spearphishing Bot

Video - 00:03:00
Overview

Video - 00:01:00

Meet the author

Emmanuel Tsukerman

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 the Infosec Skills Cybersecurity Data Science Learning Path.

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Associated NICE Work Roles

All Infosec training maps directly to the NICE Workforce Framework for Cybersecurity to guide you from beginner to expert across 52 Work Roles.

  • All-Source Analyst
  • Mission Assessment Specialist
  • Multi-Disciplined Language Analyst

Plans & pricing

Infosec Skills Personal

$299 / year

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  • 190+ role-guided learning paths (e.g., Ethical Hacking, Threat Hunting)
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  • 190+ role-guided learning paths and assessments (e.g., Incident Response)
  • 100s of hands-on labs in cloud-hosted cyber ranges
  • Create and assign custom learning paths
  • Custom certification practice exams (e.g., CISSP, CISA)
  • Optional upgrade: Guarantee team certification with live boot camps

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