HCI Challenges and Privacy Preservation in Big Data Security

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.

Table of Contents

Chapter 1: Human-Computer Interaction With Big Data Analytics
Chapter 2: Bio-Inspired Techniques in Human-Computer Interface for Control of Assistive Devices
Chapter 3: Privacy Preserving Big Data Publishing
Chapter 4: Cryptography in Big Data Security
Chapter 5: A Survey of Big Data Analytics Using Machine Learning Algorithms
Chapter 6: Big Data Analytics
Chapter 7: Prediction of Cancer Disease Using Classification Techniques in Map Reduce Programming Model
Chapter 8: Case Studies in Amalgamation of Deep Learning and Big Data