Casting Light on the Dark Web : A Guide for Safe Exploration

Lund, Brady, Beckstrom, Matthew

ISBN 10: 1538120933 / ISBN 13: 9781538120934

Editore: Bloomsbury Publishing USA, 2019

Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good. Codice articolo 45113598-6

Riassunto:

Covers topics from what the dark web is, to how it works, to how you can use it, to some of the myths surrounding it.

Casting Light on the Dark Web: A Guide for Safe Exploration is an easy-to-read and comprehensive guide to understanding how the Dark Web works and why you should be using it! Readers will be led on a tour of this elusive technology from how to download the platform for personal or public use, to how it can best be utilized for finding information. This guide busts myths and informs readers, while remaining jargon-free and entertaining. Useful for people of all levels of internet knowledge and experience.

Informazioni sugli autori: Matthew Beckstrom was born and raised in Montana. He received an Associate's degree in Computer Science from the University of Montana, and then later, a Bachelor's degree in Computer Science from Montana State University. After working in various technology jobs, he finally settled into the job of systems manager at the Lewis & Clark Library in Helena in 1999. In 2012, he received his Master's degree in Information Science from the University of North Texas after receiving a grant from the Montana State Library to attend library school.

Brady Lund, Ph.D., is an assistant professor of information science at the University of North Texas. He has published four books related to technology in libraries and educational institutions - including Casting Light on the Dark Web and Creating Accessible Online Instruction Using Universal Design Principles, both for Rowman and Littlefield Publishing - and nearly 100 articles, editorials, and opinion papers. His work often combines data analytics principles with library and information science research topics. Daniel Agbaji is a Ph.D. student in information science at the University of North Texas, with a major in Data Science-Artificial Intelligence and Machine Learning. As an experienced researcher and software developer, he has written scholarly publications and book chapters with notable publishers. Daniel has published articles in the information science and library field. As a software developer, Daniel has written thousands of lines of code for fortune 500 companies which are not publicly available due to company policies.

Dati bibliografici

Titolo: Casting Light on the Dark Web : A Guide for ...
Casa editrice: Bloomsbury Publishing USA
Data di pubblicazione: 2019
Legatura: Rilegato
Condizione: Very Good