Название: A Practical Approach to Open Source Intelligence (OSINT) - Volume 1
Автор: Akashdeep Bhardwaj
Издательство: CRC Press
Год: 2026
Страниц: 354
Язык: английский
Формат: epub (true)
Размер: 28.7 MB

This book delves into the fascinating world of Open-Source Intelligence (OSINT), empowering you to leverage the vast ocean of publicly available information to gain valuable insights and intelligence. The reader can explore the fundamentals of OSINT, including its history, ethical considerations, and key principles. They can learn how to protect your online privacy and enhance your web browsing security. They can master essential OSINT skills, such as navigating the underground internet, employing advanced search engine techniques, and extracting intelligence from various sources like email addresses and social media. This book helps the reader discover the power of Imagery Intelligence and learn how to analyze photographs and videos to uncover hidden details. It also shows how to track satellites and aircraft, and provides insights into global trade and security by investigating marine vessel, road, and railway movements. This book provides hands-on exercises, real-world examples, and practical guidance to help you uncover hidden truths, gain a competitive edge, and enhance your security. Whether you’re a student, researcher, journalist, or simply curious about the power of information, this book will equip you with the knowledge and skills to harness the potential of OSINT and navigate the digital landscape with confidence.

At its core, OSINT revolves around the collection, analysis, and interpretation of publicly accessible information. This information encompasses data from diverse sources, both online and offline, including:
• Public Records: Government documents, court records, and regulatory filings.
• Media and News Outlets: Newspapers, magazines, broadcast news, and online news articles.
• Social Media: User-generated content on platforms like Facebook, Twitter, Instagram, and YouTube.
• Websites and Forums: Data from blogs, forums, and websites, including academic publications and research papers.
• Commercial dаta: Information from commercial databases, market research reports, and industry publications.