Hacks, Leaks, and Revelations (No Starch Press)
Friday, 12 January 2024

Subtitled "The Art of Analyzing Hacked and Leaked Data", this  hands-on guide blends real-world techniques for researching large datasets with lessons on coding, data authentication, and digital security. Micah Lee spices all of this up with stories from the front lines of investigative journalism, and looks into exposed datasets from a wide array of sources: the FBI, the DHS, police intelligence agencies, extremist groups like the Oath Keepers, and even a Russian ransomware gang.

<ASIN:1718503121 >

 

Author: Micah Lee
Publisher: No Starch Press
Date: January 2024
Pages: 544
ISBN: 978-1718503120
Print: 1718503121
Kindle: B0B9W11YNX
Audience: General
Level: Introductory/Intermediate
Category: Security

  • Master encrypted messaging to safely communicate with whistleblowers.
  • Secure datasets over encrypted channels using Signal, Tor Browser, OnionShare, and SecureDrop.
  • Harvest data from the BlueLeaks collection of internal memos, financial records, and more from over 200 state, local, and federal agencies.
  • Probe leaked email archives about offshore detention centers and the Heritage Foundation.
  • Analyze metadata from videos of the January 6 attack on the US Capitol, sourced from the Parler social network.

 

For more Book Watch just click.

Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed.

To have new titles included in Book Watch contact  BookWatch@i-programmer.info

Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.

 

 

Banner


Grokking Machine Learning

Author: Luis G. Serrano
Publisher: Manning
Date: December 2021
Pages: 512
ISBN: 978-1617295911
Print: 1617295914
Kindle: B09LK7KBSL
Audience: Python developers interested in machine learning
Rating: 5
Reviewer: Mike James
Another book on machine learning - surely we have enough by now?



Machine Learning with PyTorch and Scikit-Learn

Author: Sebastian Raschka, Yuxi (Hayden) Liu & Vahid Mirjalili
Publisher: Packt
Date: February 2022
Pages: 770
ISBN: 978-1801819312
Print: 1801819319
Kindle: B09NW48MR1
Audience: Python developers interested in machine learning
Rating: 5
Reviewer: Mike James
This is a very big book of machine le [ ... ]


More Reviews