Big Data Security Issues and challenges

被引：0

作者：

Chaudhari, Neetu ^{[1
]}

Srivastava, Satyajee ^{[1
]}

机构：

[1] Galgotias Univ, Comp Sci & Engn, Greater Noida, India

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND AUTOMATION (ICCCA) | 2016年

关键词：

Anonymization; Big Data; Unstructured Data; IoT; Traditional DBMS; Machine Learning; Data Mining;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We have entered in data deluge already. Data Deluge means data generated by IoT devices and humans simultaneously. The data deluge is a Big threat for technologist but beneficial for end users. Now the coming problem is the security of this data. Big Data is too big, too fast and too diverse that does not compile with traditional data base system. Traditional data base systems are very good to analyze structured data but these systems are not enough to analyze unstructured data. In this paper we discourse the possible challenges and security issues related to Big Data characteristics and possible solutions.

引用

页码：60 / 64

页数：5

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