Nicht aus der Schweiz? Besuchen Sie lehmanns.de
Hacks, Leaks, and Revelations - Micah Lee

Hacks, Leaks, and Revelations

The Art of Analyzing Hacked and Leaked Data

(Autor)

Buch | Softcover
544 Seiten
2024
No Starch Press,US (Verlag)
978-1-7185-0312-0 (ISBN)
CHF 83,75 inkl. MwSt
In the age of hacking and whistleblowing, the internet contains massive troves of leaked information containing goldmines of newsworthy revelations in the public interest - if you know how to unravel them. For investigative journalists or amateur researchers with or without prior programming knowledge, this book gives you the technical expertise to find and interrogate complex datasets, transforming unintelligible files into ground-breaking reports. Through hands-on assignments and examples that highlight real-world cases, information security expert and well-known investigative journalist Micah Lee guides you through the process of analysing leaked datasets from governments, companies, and political groups. You'll dig into hacked files from the BlueLeaks dataset of law enforcement records, analyse social media traffic from those behind the 2021 insurrection at the US Capitol, hear the exclusive story of privately leaked data from the anti-vaccine group America's Frontline Doctors, and much more. You'll also learn the technical skills and Python programming basics needed for data science investigations, security concepts like disk encryption, how to work with data in JSON, CSV, and SQL formats, and tricks for using the command-line interface to explore datasets packed with secrets just waiting to be discovered.

Micah Lee is a renowned investigative journalist and computer security engineer celebrated for securing Edward Snowden’s NSA leak. He is the director of information security at The Intercept and an advisor to the transparency collective Distributed Denial of Secrets. A former EFF staff technologist and Freedom of the Press Foundation co-founder, Lee is also a Tor Project contributor and the developer of open source security tools like OnionShare and Dangerzone.

Introduction
Part 1: Sources and Datasets
Chapter 1: Protecting Sources and Yourself
Chapter 2: Acquiring Datasets
Part 2: Tools of the Trade
Chapter 3: The Command Line Interface
Chapter 4: Exploring Datasets in the Terminal
Chapter 5: Docker, Aleph, and Making Datasets Searchable
Chapter 6: Reading Other People's Emails
Part 3: Writing Code
Chapter 7: An Introduction to Python
Chapter 8: Working with Data in Python
Part 4: Structured Data
Chapter 9: BlueLeaks, Black Lives Matter, and the CSV File Format
Chapter 10: BlueLeaks Explorer
Chapter 11: Parler, the Insurrection of January 6, and the JSON File Format
Chapter 12: Epik Fail, Extremism Research, and SQL Databases
Part 5: Case Studies
Chapter 13: Pandemic Profiteers and COVID-19 Disinformation
Chapter 14: Neo-Nazis and Their Chat Rooms
Afterword
Appendixes
Appendix A: Using the Windows Subsystem for Linux
Appendix B: Scraping the Web

Erscheinungsdatum
Verlagsort San Francisco
Sprache englisch
Maße 177 x 234 mm
Themenwelt Informatik Datenbanken Data Warehouse / Data Mining
Informatik Netzwerke Sicherheit / Firewall
Sozialwissenschaften Kommunikation / Medien Journalistik
Sozialwissenschaften Kommunikation / Medien Medienwissenschaft
Sozialwissenschaften Politik / Verwaltung Staat / Verwaltung
ISBN-10 1-7185-0312-1 / 1718503121
ISBN-13 978-1-7185-0312-0 / 9781718503120
Zustand Neuware
Informationen gemäß Produktsicherheitsverordnung (GPSR)
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Auswertung von Daten mit pandas, NumPy und IPython

von Wes McKinney

Buch | Softcover (2023)
O'Reilly (Verlag)
CHF 62,85
Datenanalyse für Künstliche Intelligenz

von Jürgen Cleve; Uwe Lämmel

Buch | Softcover (2024)
De Gruyter Oldenbourg (Verlag)
CHF 104,90