1. Privacy Preserving Data Management: Assisting Users in Data Disclosure Scenarios
Authored by Sebastian Linsner, this book is a profound exploration of the challenges and methods related to data disclosure scenarios. Released on April 26, 2025, it delves into how individuals can manage their data privacy in an increasingly digital world, making it a necessary read for data managers and users alike. Linsner provides insightful strategies that can guide readers through the complexities of data management. The current retail price is $113.37, worth every penny for its invaluable insights.
2. Privacy-Preserving Data Mining: Secure Protocols for Privacy-Preserving Data Mining and Machine Learning Techniques
This critical work by Saeed Samet and Ali Miri, published on June 5, 2011, offers cutting-edge techniques designed to protect data privacy within machine learning frameworks. As data mining becomes central to various industries, understanding privacy-preserving techniques determines the sustainable success of these methodologies. At $99.00, this book is an essential resource that ensures data integrity and user privacy.
3. Federated Learning: Decentralized Machine Learning for Privacy and Security
In this upcoming release, available from October 10, 2024, Lavanya Arora introduces readers to federated learning, a revolutionary approach that allows machine learning models to learn from decentralized data without compromising personal information. Retailing for $23.97, it discusses the future of AI in a private world and is a must-read for professionals in the tech and security sectors.
4. Privacy-Preserving Data Mining (Springer Series in Materials Science)
Charu C. Aggarwal and Philip S. Yu have crafted a vital reference published on September 2, 2008, to understand the intimate link between data mining and privacy. This book, priced at $20.00, guides researchers and practitioners through the ethical implications of data mining initiatives. It effectively tackles the balance between innovation and privacy, demanding attention from any serious data scientist.
5. Secure and Privacy-Preserving Data Communication in Internet of Things
Authored by Liehuang Zhu, Zijian Zhang, and Chang Xu, this important work sheds light on the IoT landscape, focusing on security and privacy in connected devices. Released on March 1, 2017, for $59.99, it addresses the urgent need for effective communication strategies that do not compromise user data, making it critical for all professionals working in IoT.
6. Privacy Preserving Data Mining (Lecture Notes in Engineering)
This budget-friendly book by Jaideep Vaidya, Chris Clifton, and Michael Zhu, priced at just $7.96, provides a comprehensive overview of essential techniques for preserving privacy in data mining processes. Published on September 3, 2008, it’s an excellent entry-point for newcomers eager to understand this evolving field.
7. Enabling Secure and Privacy Preserving Communications in Smart Grids
In the realm of smart grids, privacy is paramount. Hongwei Li offers valuable insights in this book that came out on April 7, 2014, for $12.00, emphasizing the importance of secure communications in our increasingly digitized energy networks. It’s a critical resource for engineers and policymakers, outlining strategies to protect user data.
8. Privacy Preserving Data Mining – Issues & Techniques
This book from Hitesh Chhinkaniwala and Sanjay Garg, released on February 16, 2014, is priced at $82.00. It discusses critical issues and techniques that arise when attempting to maintain privacy during data mining activities. Catering to both theoretical and practical perspectives, it’s a necessary addition to the library of data professionals.
9. Scalable Privacy-Preserving Big Data Publishing & Mining in Cloud
Chandrakar Ila’s book, released on July 15, 2023, for $29.00, tackles the vital topic of scaling privacy measures in big data contexts, especially in cloud environments. This book is tailored for professionals looking to increase data protection without sacrificing analytical capabilities.
10. Privacy-Preserving Techniques with e-Healthcare Applications
Lastly, this insightful resource by Dan Zhu, Dengguo Feng, and Xuemin Shen focuses on implementing privacy-preserving techniques in healthcare applications, priced at $139.99. Available from December 14, 2024, it discusses the balance between leveraging healthcare data for innovation while maintaining patient privacy, making it a must-read for anyone in the healthcare sector.
