Open Source Intelligence Methods and Tools (PDF)
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Apply Open Source Intelligence (OSINT) techniques, methods, and tools to acquire information from publicly available online sources to support your intelligence analysis. Use the harvested data in different scenarios such as financial, crime, and terrorism investigations as well as performing business competition analysis and acquiring intelligence about individuals and other entities. This book will also improve your skills to acquire information online from both the regular Internet as well as the hidden web through its two sub-layers: the deep web and the dark web.
- Identify intelligence needs and leverage a broad range of tools and sources to improve data collection, analysis, and decision making in your organization
- Use OSINT resources to protect individuals and enterprises by discovering data that is online, exposed, and sensitive and hide the data before it is revealed by outside attackers
- Gather corporate intelligence about business competitors and predict future market directions
- Conduct advanced searches to gather intelligence from social media sites such as Facebook and Twitter
- Understand the different layers that make up the Internet and how to search within the invisible web which contains both the deep and the dark webs
Rami Hijazi holds a master's degree in information technology (information security) from the University of Liverpool. He works for Mericler, Inc., an education and corporate training firm in Toronto, Canada. Rami is an experienced IT professional who lectures on a wide array of topics, including object-oriented programming, Java, e-commerce, agile development, database design, and data handling analysis. He also works as an information security consultant, where he is involved in the design of encryption systems and wireless networks, intrusion detection and data breach tracking, and planning and development advice for IT departments concerned with contingency planning.
- Autoren: Nihad A. Hassan , Rami Hijazi
- 2018, 1st ed, 354 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 1484232135
- ISBN-13: 9781484232132
- Erscheinungsdatum: 30.06.2018
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- Dateiformat: PDF
- Grösse: 10 MB
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