Big Data Security

Author:

Benjelloun Fatima-Zahra1,Lahcen Ayoub Ait1

Affiliation:

1. Ibn Tofail University, Morocco

Abstract

The value of Big Data is now being recognized by many industries and governments. The efficient mining of Big Data enables to improve the competitive advantage of companies and to add value for many social and economic sectors. In fact, important projects with huge investments were launched by several governments to extract the maximum benefit from Big Data. The private sector has also deployed important efforts to maximize profits and optimize resources. However, Big Data sharing brings new information security and privacy issues. Traditional technologies and methods are no longer appropriate and lack of performance when applied in Big Data context. This chapter presents Big Data security challenges and a state of the art in methods, mechanisms and solutions used to protect data-intensive information systems.

Publisher

IGI Global

Reference25 articles.

1. Big Data Analytics for Security

2. Formalising Security in Ubiquitous and Cloud Scenarios

3. Bughin, J., Chui, M., & Manyika, J. (2010). Clouds, big data, and smart assets: Ten tech-enabled business trends to watch. Retrieved from http://www.mckinsey.com/insights/high_tech_telecoms_internet/clouds_big_data_and_smart_assets_ten_tech-enabled_business_trends_to_watch

4. The data protection of mapreduce using homomorphic encryption.;X.Chen;Proceedings of the 4th IEEE International Conference on Software Engineering and Service Science,2013

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On Securing Communications Between Connected Objects Using a Data-Centric Security Approach;2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME);2023-07-19

2. Overview of data security, classification and control measure: a study;i-manager's Journal on Information Technology;2022

3. Towards big services: a synergy between service computing and parallel programming;Computing;2021-08-16

4. A Secure Experimentation Sandbox for the Design and Execution of Trusted and Secure Analytics in the Aviation Domain;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2021

5. A Big Data Intelligence Marketplace and Secure Analytics Experimentation Platform for the Aviation Industry;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3