Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Securing the Cloud for Big Data

Securing the Cloud for Big Data
View Sample PDF
Author(s): Michael Robinson (Airbus, UK) and Kevin Jones (Airbus, UK)
Copyright: 2020
Pages: 23
Source title: Security, Privacy, and Forensics Issues in Big Data
Source Author(s)/Editor(s): Ramesh C. Joshi (Graphic Era University, Dehradun, India) and Brij B. Gupta (National Institute of Technology, Kurukshetra, India)
DOI: 10.4018/978-1-5225-9742-1.ch001


View Securing the Cloud for Big Data on the publisher's website for pricing and purchasing information.


This chapter explores how organizations can seek to secure a public cloud environment for use in big data operations. It begins by describing the challenges that cloud customers face when moving to the cloud, and proposes that these challenges can be summarized as a loss of control and visibility into the systems and controls around data. The chapter identifies thirteen areas where visibility and control can be lost, before progressing to highlight ten solutions to help regain these losses. It is proposed that planning is the most significant step a customer can take in ensuring a secure cloud for big data. Good planning will enable customers to know their data and pursue a risk-based approach to cloud security. The chapter provides insight into future research directions, highlighting research areas which hold the potential to further empower cloud customers in the medium to long term.

Related Content

. © 2021. 31 pages.
. © 2021. 23 pages.
. © 2021. 20 pages.
. © 2021. 29 pages.
. © 2021. 27 pages.
. © 2021. 20 pages.
. © 2021. 20 pages.
Body Bottom