PDF-(EBOOK)-Automating Open Source Intelligence: Algorithms for OSINT (Computer Science Reviews

Algorithms for Automating Open Source Intelligence OSINT presents information on the gathering of information and extraction of actionable intelligence from openly available sources including news broadcasts public repositories and more recently social media As OSINT has applications in crime fighting statebased intelligence and social research this book provides recent advances in text mining web crawling and other algorithms that have led to advances in methods that can largely automate this processThe book is beneficial to both practitioners and academic researchers with discussions of the latest advances in applications a coherent set of methods and processes for automating OSINT and interdisciplinary perspectives on the key problems identified within each disciplineDrawing upon years of practical experience and using numerous examples editors Robert Layton Paul Watters and a distinguished list of contributors discuss Evidence Accumulation Strategies for OSINT Named Entity Resolution in Social Media Analyzing Social Media Campaigns for Group Size Estimation Surveys and qualitative techniques in OSINT and Geospatial reasoning of open data Presents a coherent set of methods and processes for automating OSINTFocuses on algorithms and applications allowing the practitioner to get up and running quicklyIncludes fully developed case studies on the digital underground and predicting crime through OSINTDiscusses the ethical considerations when using publicly available online data. CS A101. What is Computer Science?. First, some misconceptions.. Misconception 1. : I can put together my own PC, am good with Windows, and can surf the net with ease, so I know CS. . Misconception 2. Ali . Al-. Shemery. arabnix. [at] . gmail. All materials is licensed under a Creative Commons “Share Alike” license.. http://creativecommons.org/licenses/by-sa/3.0/. 2. # . whoami. Ali . Al-. Shemery. Dr. Jeyakesavan Veerasamy. jeyak7@gmail.com. jeyv@utdallas.edu. Agenda. Who am I?. Higher studies . Job opportunities in USA. Latest trends in Computer Science education. Latest trends in Software Development. HUMINT. (. Human. Intelligence) . *. Espionage. /. Spying. GEOINT. (IMINT) . geospatial. intelligence / . imagery. intelligence. MASINT. (. measurement. and signature intelligence). OSINT. Artificial . Intelligence. Long used in the realms of science fiction Artificial Intelligence or AI has now not only made it to popular culture but is fast becoming science fact. .. Robotics itself is rapidly becoming one of the leading fields in Science and . CS A101. What is Computer Science?. First, some misconceptions.. Misconception 1. : I can put together my own PC, am good with Windows, and can surf the net with ease, so I know CS. . Misconception 2. Introduction to OSINT. http://www.opsecacademy.org. What is OSINT?. OSINT: . Open Source Intelligence; publicly available information. i.e., information that any member of the public could . lawfully. Alper Sarikaya. Advised by Prof. Dave Bacon. Computer Science & Engineering. Chemistry. University of Washington. Undergraduate Research Symposium. May 15, . 2009. Quantum Computing Theory Group: . Top-Quality SEC497: Practical Open-Source Intelligence (OSINT) Practice Course

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Examining data in its initial form is often very laborious and also makes it possible to quotmiss the forest for the treesquot by failing to notice patterns in the data that are not readily apparent. To address these problems, this monograph describes several accurate and efficient methods for displaying, reviewing and analyzing digital and analog data. The methods may be used either singly or in various combinations to maximize the value of the data to those for whom it is relevant. None of the methods requires special devices and each can be used on common platforms such as personal computers, tablets and smart phones. Also, each of the methods can be easily employed utilizing widely available off-the-shelf software. Using the methods does not require special expertise in computer science or technology, graphical design or statistical analysis. 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Discusses how combining existing data with other data sets of the same kind can produce an aggregate data set that serves to answer questions that could not be answered with any of the original dataPresents a method for re-analyzing original data sets using alternate or improved methods that can provide outcomes more precise and reliable than those produced in the original analysisExplains how to integrate heterogeneous data sets for the purpose of answering questions or developing concepts that span several different scientific fields Aquire Certified in Open Source Intelligence (C|OSINT) Practice Course

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