Description

Mining the Social Web – Mailboxes

Mining the Social Web – Mailboxes
MP4 | Video: AVC 1280×720 | Audio: AAC 48KHz 2ch | Duration: 23M | 183 MB Genre: eLearning | Language: English
Imagine yourself as a criminal investigator. You’ve been tasked with searching through thousands of subpoenaed email messages for the purpose of finding evidence of fraud. What tools could you use to do your job? In this course, based on content from Matthew Russell’s book, “Mining the Social Web” (O’Reilly Media), you’ll learn how to forensically examine large email data sets.

Email

is a valuable source of information in the fight against crime and fraud,

but extracting meaning from it often requires some detective work. In this course, based on content from Matthew Russell’s book,

“Mining the Social Web” (O’Reilly Media), you’ll learn how to forensically examine large email data sets. You’ll focus your attention on identifying patterns and trends among messages and examine metadata to provide clues about a message’s sender and recipient.

Dive into the world of forensics and social network analysis, and learn how to mine

large email data sets for information related to fraud. Matthew Russell presents a practical guide on how to examine email messages within social

networks from multiple perspectives, including the use of machine learning algorithms, statistical techniques, and other techniques for understanding

large data sets. In short: Learn about pwned accounts and their role in enterprise hacking with this very practical course!

Discover

how to use message content in large email data sets for social analysis and detection of fraud.

Learn how to find evidence of fraud using the receiver’s email metadata and the spam filter’s spam scorecard, along with billions of

unstructured email message streams from the Columbia University Data Science Repository.

This course will teach you how to use forensic tools like Forefront Identity Manager (FIM

) and Email Service Provider (ESP) version 3.1, as well as the PowerShell equivalent, to perform SPF and DKIM analysis on email messages.

You’ll also learn how to add a message from your own inbox into a collection for forensic sleuthing.