Rapid Screening of Big Data Against Inadvertent Leaks

Chapter

Abstract

Keeping sensitive data from unauthorized parties in the highly connected world is challenging. Statistics from security firms, research institutions, and government organizations show that the number of data-leak instances has grown rapidly in the last years. Deliberately planned attacks, inadvertent leaks, and human mistakes constitute the majority of the incidents. In this chapter, we first introduce the threat of data leak and overview traditional solutions in detecting and preventing sensitive data from leaking. Then we point out new challenges in the era of big data and present the state-of-the-art data-leak detection designs and algorithms. These solutions leverage big data theories and platforms—data mining, MapReduce, GPGPU, etc.—to harden the privacy control for big data. We also discuss the open research problems in data-leak detection and prevention.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of Computer ScienceVirginia TechBlacksburgUSA

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