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.
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Data Structures & Algorithms in Python
Author: Dr. John Canning, Alan Broder and Robert Lafore Publisher: Addison-Wesley Date: October 2022 Pages: 928 ISBN:978-0134855684 Print: 013485568X Kindle: B0B1WJF1K9 Audience: Python developers Rating: 4 Reviewer: Mike James Data structures in Python - a good idea!
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The Rust Programming Language, 2nd Ed
Author: Steve Klabnik and Carol Nichols Publisher: No Starch Press Date: June 2023 Pages: 560 ISBN: 978-1718503106 Print: 1718503105 Kindle: B0B7QTX8LL Audience: Systems programmers Rating: 4.8 Reviewer: Mike James
There's a new edition of what has become the standard text on Rust. Has it matured along with [ ... ]
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