Open Source Intelligence Techniques

Resources for Searching and Analyzing Online Information

Author: Michael Bazzell

Publisher: N.A

ISBN: 9781494275358

Category: Computers

Page: 402

View: 2476

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Third Edition Sheds New Light on Open Source Intelligence Collection and Analysis.Author Michael Bazzell has been well known and respected in government circles for his ability to locate personal information about any target through Open Source Intelligence (OSINT). In this book, he shares his methods in great detail. Each step of his process is explained throughout sixteen chapters of specialized websites, application programming interfaces, and software solutions. Based on his live and online video training at IntelTechniques.com, over 250 resources are identified with narrative tutorials and screen captures. This book will serve as a reference guide for anyone that is responsible for the collection of online content. It is written in a hands-on style that encourages the reader to execute the tutorials as they go. The search techniques offered will inspire analysts to “think outside the box” when scouring the internet for personal information. Much of the content of this book has never been discussed in any publication. Always thinking like a hacker, the author has identified new ways to use various technologies for an unintended purpose. This book will improve anyone's online investigative skills. Among other techniques, you will learn how to locate: Hidden Social Network ContentCell Phone Owner InformationTwitter GPS & Account DataHidden Photo GPS & MetadataDeleted Websites & PostsWebsite Owner InformationAlias Social Network ProfilesAdditional User AccountsSensitive Documents & PhotosLive Streaming Social ContentIP Addresses of UsersNewspaper Archives & ScansSocial Content by LocationPrivate Email AddressesHistorical Satellite ImageryDuplicate Copies of PhotosLocal Personal Radio FrequenciesCompromised Email InformationWireless Routers by LocationHidden Mapping ApplicationsComplete Facebook DataFree Investigative SoftwareAlternative Search EnginesStolen Items for SaleUnlisted AddressesUnlisted Phone NumbersPublic Government RecordsDocument MetadataRental Vehicle ContractsOnline Criminal Activity
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Open Source Intelligence Investigation

From Strategy to Implementation

Author: Babak Akhgar,P. Saskia Bayerl,Fraser Sampson

Publisher: Springer

ISBN: 3319476718

Category: Computers

Page: 304

View: 6546

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One of the most important aspects for a successful police operation is the ability for the police to obtain timely, reliable and actionable intelligence related to the investigation or incident at hand. Open Source Intelligence (OSINT) provides an invaluable avenue to access and collect such information in addition to traditional investigative techniques and information sources. This book offers an authoritative and accessible guide on how to conduct Open Source Intelligence investigations from data collection to analysis to the design and vetting of OSINT tools. In its pages the reader will find a comprehensive view into the newest methods for OSINT analytics and visualizations in combination with real-life case studies to showcase the application as well as the challenges of OSINT investigations across domains. Examples of OSINT range from information posted on social media as one of the most openly available means of accessing and gathering Open Source Intelligence to location data, OSINT obtained from the darkweb to combinations of OSINT with real-time analytical capabilities and closed sources. In addition it provides guidance on legal and ethical considerations making it relevant reading for practitioners as well as academics and students with a view to obtain thorough, first-hand knowledge from serving experts in the field.
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The Tao of Open Source Intelligence

Author: Stewart Bertram

Publisher: IT Governance Ltd

ISBN: 1849287295

Category: Computers

Page: 137

View: 5885

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OSINT is a rapidly evolving approach to intelligence collection, and its wide application makes it a useful methodology for numerous practices, including within the criminal investigation community.The Tao of Open Source Intelligence is your guide to the cutting edge of this information collection capability.
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Digital Transformation and Global Society

First International Conference, DTGS 2016, St. Petersburg, Russia, June 22-24, 2016, Revised Selected Papers

Author: Andrei V. Chugunov,Radomir Bolgov,Yury Kabanov,George Kampis,Maria Wimmer

Publisher: Springer

ISBN: 3319497006

Category: Computers

Page: 620

View: 3984

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This book constitutes the refereed proceedings of the First International Conference on Digital Transformation and Global Society, DTGS 2016, held in St. Petersburg, Russia, in June 2016. The 43 revised full papers and 15 revised short papers, presented together with 3 poster papers and an invited paper were carefully reviewed and selected from 157 submissions. The papers are organized in topical sections on eSociety: New Social Media Studies; eSociety: eGovernment and eParticipation: Perspectives on ICTs in Public Administration and Democracy; eKnowledge: ICTs in Learning and Education Management; eCity: ICTs for Better Urban (Rural) Planning and Living; eHealth: ICTs in Healthcare; eScience: Big Data Complex Calculations.
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Big Data Analytics in Cybersecurity

Author: Onur Savas,Julia Deng

Publisher: CRC Press

ISBN: 1351650416

Category: Business & Economics

Page: 336

View: 3852

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Big data is presenting challenges to cybersecurity. For an example, the Internet of Things (IoT) will reportedly soon generate a staggering 400 zettabytes (ZB) of data a year. Self-driving cars are predicted to churn out 4000 GB of data per hour of driving. Big data analytics, as an emerging analytical technology, offers the capability to collect, store, process, and visualize these vast amounts of data. Big Data Analytics in Cybersecurity examines security challenges surrounding big data and provides actionable insights that can be used to improve the current practices of network operators and administrators. Applying big data analytics in cybersecurity is critical. By exploiting data from the networks and computers, analysts can discover useful network information from data. Decision makers can make more informative decisions by using this analysis, including what actions need to be performed, and improvement recommendations to policies, guidelines, procedures, tools, and other aspects of the network processes. Bringing together experts from academia, government laboratories, and industry, the book provides insight to both new and more experienced security professionals, as well as data analytics professionals who have varying levels of cybersecurity expertise. It covers a wide range of topics in cybersecurity, which include: Network forensics Threat analysis Vulnerability assessment Visualization Cyber training. In addition, emerging security domains such as the IoT, cloud computing, fog computing, mobile computing, and cyber-social networks are examined. The book first focuses on how big data analytics can be used in different aspects of cybersecurity including network forensics, root-cause analysis, and security training. Next it discusses big data challenges and solutions in such emerging cybersecurity domains as fog computing, IoT, and mobile app security. The book concludes by presenting the tools and datasets for future cybersecurity research.
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