Person:
Higham, Lori

Profile Picture

Email Address

AA Acceptance Date

Birth Date

Research Projects

Organizational Units

Job Title

Last Name

Higham

First Name

Lori

Name

Higham, Lori

Filters

20161

Settings

Author's Publications: search.filters.isAuthorOfPublication.d96c6441-0c02-43db-80ad-2dff55439016

Search Results

Now showing 1 - 1 of 1
  • No Thumbnail Available
    Publication
    Best Practices of Big Data Analytics Applied to PII Security
    (2016-12-23) Higham, Lori; Parker, Jeff; Idreos, Stratos
    Personally identifiable information (PII) is frequently compromised. This is a crucial issue because compromised PII can and does result in identity theft. Yet the storage and query techniques currently used to process PII facilitate, rather than guard against, breaches to such information. Although research and development of distributed systems has greatly improved the performance of Big Data analytics, the best practices implemented within that context have not been extended to security standards for personal information. As a result, the breach of a single database can expose millions of full sets of PII. In this research, we design a structure of individually secured nodes. Then, taking a set of PII, we strategically group specific elements of personal information together and distribute those subsets across our structure, applying best practices as seen in other fields to PII security. In so doing, we demonstrate how the well-established concepts of data and server isolation can be extended to PII.