This book constitutes the proceedings of the 3rd International Conference on Data Security and Privacy Protection, DSPP 2025, held in Xi'an, China, during October 16–18, 2025.The 36 full papers and 11 short papers presented in these two volumes were carefully reviewed and selected from 105 submissions.The papers are organized in the following topical sections:Part I:AI and System Security; Blockchain and Related Technologies; Privacy Preserving/Enhancing Technologie...

This book constitutes the proceedings of the 2nd International Conference on Data Security and Privacy Protection, DSPP 2024, held in Xi'an, China, during October 25-28, 2024.The 34 full papers included in this volume were carefully reviewed and selected from a total of 99 submissions. The DSPP 2024 conference promotes and stimulates discussion on the latest theories, algorithms, applications, and emerging topics on data security and privacy protection. It encourages the cross-fert...

This book constitutes the proceedings of the 2nd International Conference on Data Security and Privacy Protection, DSPP 2024, held in Xi'an, China, during October 25-28, 2024.The 34 full papers included in this volume were carefully reviewed and selected from a total of 99 submissions. The DSPP 2024 conference promotes and stimulates discussion on the latest theories, algorithms, applications, and emerging topics on data security and privacy protection. It encourages the cross-fert...

This book constitutes the proceedings of the 3rd International Conference on Data Security and Privacy Protection, DSPP 2025, held in Xi'an, China, during October 16–18, 2025.The 36 full papers and 11 short papers presented in these two volumes were carefully reviewed and selected from 105 submissions.The papers are organized in the following topical sections:Part I:AI and System Security; Blockchain and Related Technologies; Privacy Preserving/Enhancing Technologie...

This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS 2020, held in Xi’an, China in October 2020.The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning, Malware detection and analysis, Data mining,...

This book provides a thorough overview of the evolution of privacy-preserving machine learning schemes over the last ten years, after discussing the importance of privacy-preserving techniques. In response to the diversity of Internet services, data services based on machine learning are now available for various applications, including risk assessment and image recognition. In light of open access to datasets and not fully trusted environments, machine learning-based applications face eno...

Machine learning boosts the capabilities of security solutions in the modern cyber environment. However, there are also security concerns associated with machine learning models and approaches: the vulnerability of machine learning models to adversarial attacks is a fatal flaw in the artificial intelligence technologies, and the privacy of the data used in the training and testing periods is also causing increasing concern among users.This book reviews the latest research in the ar...

Blockchain technologies, as an emerging distributed architecture and computing paradigm, have accelerated the development/application of the Cloud/GPU/Edge Computing, Artificial Intelligence, cyber physical systems, social networking, crowdsourcing and crowdsensing, 5G, trust management, and finance. The popularity and rapid development of Blockchain brings many technical and regulatory challenges for research and academic communities. This book will feature contributions from experts on t...

With the rapid development of cloud computing, the enterprises and individuals can outsource their sensitive data into the cloud server where they can enjoy high quality data storage and computing services in a ubiquitous manner. This is known as the outsourcing computation paradigm. Recently, the problem for securely outsourcing various expensive computations or storage has attracted considerable attention in the academic community. In this book, we focus on the latest technologies and ap...

This book provides state-of-the-art coverage of the principles, techniques, and management of issues in cyber security, including threat attacks, privacy, signature and encryption schemes. One of the most important topics addressed concerns lightweight solutions for public key encryption in resource-constrained environments; the book highlights the latest developments in this area. Authentication is another central issue in cyber security. In this book, we address this aspect and sub-aspec...

This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS 2020, held in Xi’an, China in October 2020.The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning, Malware detection and analysis, Data mining,...

This book constitutes the refereed proceedings of the 4thInternational Conference on Security and Privacy in New Computing Environments, SPNCE 2021, held in December 2021. Due to COVID-19 pandemic the conference was held virtually.The 33 full papers were selected from 61 submissions and focus on security and privacy in new computing environments. The theme of SPNCE 2021 was “Secure Wireless Communication Systems: Infrastructure, Algorithms, and Management”.