Angol
Information assurance in network science must provide authentic, accurate, secure, reliable, and timely information to warfighters to achieve information dominance, regardless of threat conditions. Computing and information processes may be carried out over distributed and heterogeneous systems, which may include mobile edge, mobile computing and communications systems, and high-performance information process systems that are inter-connected through both tactical and strategic communication and network systems. The advancement of artificial intelligence (AI) and machine intelligence (ML) has led to new opportunities for efficient tactical communication and network systems but also brought in new vulnerabilities.The topics of this book will be futuristic forward looking at security in spectrum management, mobile networks, and next-generation wireless networks under the era of AI/ML. Topics include, but are not limited to, robust and trusted wireless and mobile networks, models and metrics for next generation robust systems, cyber deception, principle of moving target defense, trusted learning for cyber autonomy, spectrum management, and network forensics. The main goal of this book is to collect the recent development on the principle, techniques, and applications of AI/ML in future network security and applications. It will focus on various threat models/behaviors and the corresponding countermeasures using AI/ML techniques. This book will be of value to academics and researchers -- working and participating in fields related to AI/ML in future network security and applications. The content of the book will be especially useful for students in areas like Computer Networks, Artificial Intelligence, MachineLearning, and Data Science, who would benefit from the information, cases, and examples therein. This book can be also used as a reference/textbook for the above areas.
