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This open-access book is premised on the belief that understanding and protecting privacy requires a multidisciplinary approach. The editors of this contributed book believe that privacy is a ‘wicked problem’ because of its social complexity. In the modern world, political, social, and technological structures increasingly violate human privacy in physical and virtual spaces. Our behaviors are surveilled, captured, and monetized—often without our knowledge. Contributors are experts from diverse fields, including anthropology, architecture, data science, engineering, history, information systems, library sciences, medicine, philosophy, and supply chain management, each writing for an explicitly interdisciplinary readership. Privacy as a concept is a moving target across the globe, morphing and transforming historically from one epoch to the next. By moving beyond the limitations of a single disciplinary lens, this book aims at a richer, more comprehensive, and more lasting analysis. This collection is of great interest to students and scholars of diverse backgrounds studying human privacy.

This open access book provides cybersecurity practitioners with the knowledge needed to understand the risks of the increased availability of powerful large language models (LLMs) and how they can be mitigated. It attempts to outrun the malicious attackers by anticipating what they could do. It also alerts LLM developers to understand their work's risks for cybersecurity and provides them with tools to mitigate those risks. The book starts in Part I with a general introduction to LLMs and their main application areas. Part II collects a description of the most salient threats LLMs represent in cybersecurity, be they as tools for cybercriminals or as novel attack surfaces if integrated into existing software. Part III focuses on attempting to forecast the exposure and the development of technologies and science underpinning LLMs, as well as macro levers available to regulators to further cybersecurity in the age of LLMs. Eventually, in Part IV, mitigation techniques that should allow safe and secure development and deployment of LLMs are presented. The book concludes with two final chapters in Part V, one speculating what a secure design and integration of LLMs from first principles would look like and the other presenting a summary of the duality of LLMs in cyber-security. This book represents the second in a series published by the Technology Monitoring (TM) team of the Cyber-Defence Campus. The first book entitled "Trends in Data Protection and Encryption Technologies" appeared in 2023. This book series provides technology and trend anticipation for government, industry, and academic decision-makers as well as technical experts.

This open access book constitutes the refereed proceedings of the 18th China Annual Conference on Cyber Security, CNCERT 2022, held in Beijing, China, in August 2022. The 17 papers presented were carefully reviewed and selected from 64 submissions. The papers are organized according to the following topical sections: ​​data security; anomaly detection; cryptocurrency; information security; vulnerabilities; mobile internet; threat intelligence; text recognition.