HCI Challenges and Privacy Preservation in Big Data Security

Nonfiction, Computers, Networking & Communications, Computer Security, General Computing
Cover of the book HCI Challenges and Privacy Preservation in Big Data Security by , IGI Global
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Author: ISBN: 9781522528654
Publisher: IGI Global Publication: August 10, 2017
Imprint: Information Science Reference Language: English
Author:
ISBN: 9781522528654
Publisher: IGI Global
Publication: August 10, 2017
Imprint: Information Science Reference
Language: English
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.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
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.

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