<p><p>This book highlights recent research advances on biometrics using new methods such as deep learning, nonlinear graph embedding, fuzzy approaches, and ensemble learning. Included are special biometric technologies related to privacy and security issues, such as cancellable biometrics and soft b
HCI Challenges and Privacy Preservation in Big Data Security
β Scribed by Daphne Lopez, M.A. Saleem Durai
- Publisher
- IGI Global
- Year
- 2018
- Tongue
- English
- Leaves
- 294
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Privacy protection within large databases can be a challenge. By examining the current problems and challenges this domain is facing, more efficient strategies can be established to safeguard personal information against invasive pressures.
HCI Challenges and Privacy Preservation in Big Data Security is an informative scholarly publication that discusses how human-computer interaction impacts privacy and security in almost all sectors of modern life. Featuring relevant topics such as large scale security data, threat detection, big data encryption, and identity management, this reference source is ideal for academicians, researchers, advanced-level students, and engineers that are interested in staying current on the advancements and drawbacks of human-computer interaction within the world of big data.
β¦ Table of Contents
Title Page......Page 2
Copyright Page......Page 3
Book Series......Page 4
Editorial Advisory Board......Page 6
Table of Contents......Page 7
Detailed Table of Contents......Page 9
Foreword......Page 14
Preface......Page 16
Acknowledgment......Page 19
Chapter 1: Human-Computer Interaction With Big Data Analytics......Page 20
Chapter 2: Bio-Inspired Techniques in Human-Computer Interface for Control of Assistive Devices......Page 42
Chapter 3: Privacy Preserving Big Data Publishing......Page 66
Chapter 4: Cryptography in Big Data Security......Page 90
Chapter 5: A Survey of Big Data Analytics Using Machine Learning Algorithms......Page 114
Chapter 6: Big Data Analytics......Page 143
Chapter 7: Prediction of Cancer Disease Using Classification Techniques in Map Reduce Programming Model......Page 158
Chapter 8: Case Studies in Amalgamation of Deep Learning and Big Data......Page 178
Related References......Page 194
Compilation of References......Page 233
About the Contributors......Page 289
Index......Page 293
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