大数据
计算机安全
计算机科学
保密
数据安全
互联网隐私
数据科学
加密
数据挖掘
作者
Dharmpal Singh,Ira Nath,Pawan Kumar Singh
出处
期刊:IGI Global eBooks
[IGI Global]
日期:2021-01-01
卷期号:: 15-41
被引量:1
标识
DOI:10.4018/978-1-7998-8954-0.ch002
摘要
Big data refers to enormous amount of information which may be in planned and unplanned form. The huge capacity of data creates impracticable situation to handle with conventional database and traditional software skills. Thousands of servers are needed for its processing purpose. Big data gathers and examines huge capacity of data from various resources to determine exceptional novel awareness and recognizing the technical and commercial circumstances. However, big data discloses the endeavor to several data safety threats. Various challenges are there to maintain the privacy and security in big data. Protection of confidential and susceptible data from attackers is a vital issue. Therefore, the goal of this chapter is to discuss how to maintain security in big data to keep your organization robust, operational, flexible, and high performance, preserving its digital transformation and obtaining the complete benefit of big data, which is safe and secure.
科研通智能强力驱动
Strongly Powered by AbleSci AI