The U S Cybersecurity And Intelligence Analysis Challenges
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The U.S. Cybersecurity and Intelligence Analysis Challenges
Author: John Michael Weaver
language: en
Publisher: Springer Nature
Release Date: 2022-03-02
One of the prevailing issues regarding security to North America and more pointedly, the United States, gravitates on the topic of cyber threats confronting this nation. These threats are becoming more disruptive and destructive and many nations’ infrastructure is vulnerable to them. This book makes use of a qualitative research methodology looking at a conventional understanding of the four instruments of power that include diplomacy, information, military and economic (D.I.M.E.) efforts through the use of the York Intelligence Red Team Model-Cyber (Modified) and seeing how adversaries are using them against the United States. Moreover, this project uses secondary data and makes use of the Federal Secondary Data Case Study Triangulation Model to ensure a balance of sources to dissect the problem.
The U.S. Cybersecurity and Intelligence Analysis Challenges
One of the prevailing issues regarding security to North America and more pointedly, the United States, gravitates on the topic of cyber threats confronting this nation. These threats are becoming more disruptive and destructive and many nations' infrastructure is vulnerable to them. This book makes use of a qualitative research methodology looking at a conventional understanding of the four instruments of power that include diplomacy, information, military and economic (D.I.M.E.) efforts through the use of the York Intelligence Red Team Model-Cyber (Modified) and seeing how adversaries are using them against the United States. Moreover, this project uses secondary data and makes use of the Federal Secondary Data Case Study Triangulation Model to ensure a balance of sources to dissect the problem. John M. Weaver is Associate Professor of Intelligence Analysis at York College of Pennsylvania, the US.
Artificial Intelligence for Cyber Security: Methods, Issues and Possible Horizons or Opportunities
This book provides stepwise discussion, exhaustive literature review, detailed analysis and discussion, rigorous experimentation results (using several analytics tools), and an application-oriented approach that can be demonstrated with respect to data analytics using artificial intelligence to make systems stronger (i.e., impossible to breach). We can see many serious cyber breaches on Government databases or public profiles at online social networking in the recent decade. Today artificial intelligence or machine learning is redefining every aspect of cyber security. From improving organizations’ ability to anticipate and thwart breaches, protecting the proliferating number of threat surfaces with Zero Trust Security frameworks to making passwords obsolete, AI and machine learning are essential to securing the perimeters of any business. The book is useful for researchers, academics, industry players, data engineers, data scientists, governmental organizations, and non-governmental organizations.