Security Threats to Hadoop: Data Leakage Attacks and Investigation

被引：13

作者：

Fu, Xiao ^{[1
]}

Gao, Yun ^{[1
]}

Luo, Bin ^{[1
]}

Du, Xiaojiang ^{[2
]}

Guizani, Mohsen ^{[3
]}

机构：

[1] Nanjing Univ, State Key Lab Novel Software Technol, Nanjing, Jiangsu, Peoples R China

[2] Temple Univ, Dept Comp & Informat Sci, Philadelphia, PA 19122 USA

[3] Univ Idaho, ECE Dept, Moscow, ID 83843 USA

来源：

IEEE NETWORK | 2017年 / 31卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Big data;

D O I：

10.1109/MNET.2017.1500095NM

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：67 / 71

页数：5

共 6 条

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[2]

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[3]

Das Devaraj., 2011, ADDING SECURITY APAC

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[5]

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[6]

Park S., 2013, GPC 2013

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