Security Threats to Hadoop: Data Leakage Attacks and Investigation

Xiao Fu, Yun Gao, Bin Luo, Xiaojiang Du, Mohsen Guizani

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

As one of the most popular platforms for processing big data, Hadoop has low costs, convenience, and fast speed. However, it is also a significant target of data leakage attacks, as a growing number of businesses and individuals store and process their private data in it. How to investigate data leakage attacks in Hadoop is an important but long-neglected issue. This article first presents some possible data leakage attacks in Hadoop. Then an investigation framework is proposed and tested based on some simulated cases.

Original languageEnglish
Article number7827929
Pages (from-to)67-71
Number of pages5
JournalIEEE Network
Volume31
Issue number2
DOIs
StatePublished - 1 Mar 2017

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