Introduction

摘要

The Internet of Things (IoT) has become part of our daily life, with billions of devices around the world connected to the Internet. IoT has a broad application in civilian and military domains. New paradigms such as smart homes, intelligent transportation, self-driving cars, smart grids, and smart cities are part of IoT. Moreover, IoT devices such as sensors, wearable devices, robots, drones, and autonomous vehicles facilitate the intelligence, surveillance, and reconnaissance to command and control and battlefield services. There are several factors that have sparked the explosion of IoT. First, Moore's law, the empirical conjecture that the processing power of computers doubles every 18 months, enabled very small devices to be smarter and embedded in any system. Second, Metcalfe's law, also known as the network effect, in which the value of an IoT network is proportional to the square of the number of connected nodes, users, or applications. Likewise, 5G mobile network protocol expedites advanced IoT deployments with an endless number of smart embedded devices. Third, the massive data set collected over the Internet and the gigantic computing power available through the cloud have dramatically increased the performance of artificial intelligence and machine learning algorithms for efficient information processing. Despite those advances in IoT, securing the IoT presents additional challenges compared with traditional information technology (IT) systems. This book examines issues in modeling and designing secure IoT to provide a flexible, low-cost infrastructure, reduce the risks of exploitable attack surfaces, and improve survivability of physical processes. The contributions address design issues in developing secure IoT, such as secure software-defined network-based network orchestration, networked device identity management, tactical battlefield settings, and smart cities. The book has encompassing themes that drive the individual contributions, including modeling techniques to secure IoT, game-theoretic models, cyber-deception models, moving target defense (MTD), adversarial machine learning models in military and commercial domains, and empirical validation of IoT platforms. It synthesizes a mix of earlier work (on topics including MTD and cyber agility) as well as newer, cutting-edge research findings that promise to attract strong interest (on topics including Internet of Battlefield Things, advanced persistent threats, and cyber deception).