RAND's Scalable Warning and Resilience Model (SWARM)


Book Description

The model introduced in this report is intended to enhance the predictive capabilities available to cyber defenders while also augmenting resilience by improving preventions and detections of cyber threats. The authors test this model's effectiveness in attacks on the RAND Corporation and report the results.




Russian Information Warfare


Book Description

Russian Information Warfare: Assault on Democracies in the Cyber Wild West examines how Moscow tries to trample the very principles on which democracies are founded and what we can do to stop it. In particular, the book analyzes how the Russian government uses cyber operations, disinformation, protests, assassinations, coup d'états, and perhaps even explosions to destroy democracies from within, and what the United States and other NATO countries can do to defend themselves from Russia's onslaught. The Kremlin has been using cyber operations as a tool of foreign policy against the political infrastructure of NATO member states for over a decade. Alongside these cyber operations, the Russian government has launched a diverse and devious set of activities which at first glance may appear chaotic. Russian military scholars and doctrine elegantly categorizes these activities as components of a single strategic playbook —information warfare. This concept breaks down the binary boundaries of war and peace and views war as a continuous sliding scale of conflict, vacillating between the two extremes of peace and war but never quite reaching either. The Russian government has applied information warfare activities across NATO members to achieve various objectives. What are these objectives? What are the factors that most likely influence Russia's decision to launch certain types of cyber operations against political infrastructure and how are they integrated with the Kremlin's other information warfare activities? To what extent are these cyber operations and information warfare campaigns effective in achieving Moscow's purported goals? Dr. Bilyana Lilly addresses these questions and uses her findings to recommend improvements in the design of U.S. policy to counter Russian adversarial behavior in cyberspace by understanding under what conditions, against what election components, and for what purposes within broader information warfare campaigns Russia uses specific types of cyber operations against political infrastructure.




The NICE Cyber Security Framework


Book Description

This updated textbook is for courses in cyber security education that follow the National Initiative for Cybersecurity Education (NICE) framework which adopts the Competency- Based Education (CBE) method. The book creates content based on the Knowledge, Skills and Abilities (a.k.a. KSAs) described in the NICE framework. This book focuses on cyber analytics and intelligence areas. The book has 18 chapters: Introduction, Acquisition Management, Continuity Planning and Disaster Recovery, Cyber Defense Analysis and Support, Cyber Intelligence, Cyber Intelligence Analysis, Cyber Operational Planning, Cyber Policy and Strategy Management, Cyber Threat Analysis, Cybersecurity Management, Forensics Analysis, Identity Management, Incident Response, Collection Operations, Computer Network Defense, Data Analysis, Threat Analysis and last chapter, Vulnerability Assessment.




Distributed Kill Chains


Book Description

In Mosaic warfare, individual warfighting platforms are assembled like ceramic tiles to make a larger "mosaic," or force package. The authors apply lessons from the human immune system and a U.S. Navy project to mosaic warfare.




Extending Russia


Book Description

As the U.S. National Defense Strategy recognizes, the United States is currently locked in a great-power competition with Russia. This report seeks to define areas where the United States can compete to its own advantage. It examines Russian vulnerabilities and anxieties; analyzes potential policy options to exploit them; and assesses the associated benefits, costs, and risks, as well as the likelihood of successful implementation.




The Global Technology Revolution 2020, In-Depth Analyses: Bio/Nano/Materials/Information Trends, Drivers, Barriers, and Social Implications


Book Description

In 2020, areas of particular importance for technology trends will include biotechnology, nanotechnology, materials technology, and information technology. This report, the companion document to The Global Technology Revolution 2020, Executive Summary (Silberglitt et al., MG-475-NIC, 2006), assesses in detail a sample of 29 countries with respect to their ability to acquire and implement 16 key technology applications.




Autonomous Horizons


Book Description

Dr. Greg Zacharias, former Chief Scientist of the United States Air Force (2015-18), explores next steps in autonomous systems (AS) development, fielding, and training. Rapid advances in AS development and artificial intelligence (AI) research will change how we think about machines, whether they are individual vehicle platforms or networked enterprises. The payoff will be considerable, affording the US military significant protection for aviators, greater effectiveness in employment, and unlimited opportunities for novel and disruptive concepts of operations. Autonomous Horizons: The Way Forward identifies issues and makes recommendations for the Air Force to take full advantage of this transformational technology.




TinyML


Book Description

Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures Work with Arduino and ultra-low-power microcontrollers Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size







Sustainable Business Models


Book Description

This book is a printed edition of the Special Issue "Sustainable Business Models" that was published in Sustainability