HCI Challenges and Privacy Preservation in Big Data Security

HCI Challenges and Privacy Preservation in Big Data Security

Release Date: August, 2017|Copyright: © 2018 |Pages: 275
DOI: 10.4018/978-1-5225-2863-0
ISBN13: 9781522528630|ISBN10: 1522528636|EISBN13: 9781522528647
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Big Data Encryption
  • Brain-Computer Interfaces
  • Cryptography
  • Identity Management
  • Large Scale Security Data
  • Natural Language Processing
  • Privacy Protection
  • Query Optimization
  • Spoken Dialogue Systems
  • Threat Detection
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Editor/Author Biographies
Daphne Lopez is a Professor in the School of Information Technology and Engineering, Vellore Institute of Technology University. Her research spans the fields of grid and cloud computing, spatial and temporal data mining and big data. She has a vast experience in teaching and industry. She is the author/co–author of papers in conferences, book chapters and journals. She serves as a reviewer in journals and conference proceedings. Prior to this, she has worked in the software industry as a consultant in data warehouse and business intelligence. She is also a member of International Society for Infectious Diseases.
M. A. Saleem Durai received the MCA from Bharathidasan University, Tiruchirapalli, Tamilnadu, India in 1998; M. Phil. from Madurai Kamaraj University, India in 2008 and pursued PhD at VIT University Vellore. He is an Associate Professor in the School of Computing Sciences and Engineering at VIT University, Vellore, Tamilnadu, India. He has authored many international and national journal papers to his credit. His research interests include data mining, fuzzy logic, cloud computing and rough sets. Mr. Saleem Durai is associated with many professional bodies such as CSI and IEEE.
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