Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

How Big Data helps SDN with data protection and privacy

How Big Data helps SDN with data protection and privacy

For access to this article, please select a purchase option:

Buy chapter PDF
£10.00
(plus tax if applicable)
Buy Knowledge Pack
10 chapters for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Big Data and Software Defined Networks — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

This chapter will discuss Big Data (BD) as a tool in software-defined networking (SDN) from the perspective of information privacy and data protection. First, it will discuss how BD and SDN are connected and expected to provide better services. Then, the chapter will describe the core of data protection and privacy requirements in Europe, followed by a discussion about the implications for BD use in SDN. The chapter will conclude with recommendations and privacy design considerations for BD in SDN.

Chapter Contents:

  • 16.1 Collection and processing of data to improve performance
  • 16.1.1 The promise of Big Data in SDN: data collection, analysis, configuration change
  • 16.2 Data protection requirements and their implications for Big Data in SDN
  • 16.2.1 Data protection requirements in Europe
  • 16.2.1.1 European data protection philosophy
  • 16.2.1.2 Essentials of lawful personal information processing
  • 16.2.2 Personal data in networking information
  • 16.2.3 Issues with Big Data processing
  • 16.3 Recommendations for privacy design in SDN Big Data projects
  • 16.3.1 Storage concepts
  • 16.3.2 Filtration, anonymization and data minimization
  • 16.3.3 Privacy-friendly data mining
  • 16.3.4 Purpose-binding and obligations management
  • 16.3.5 Data subject consent management techniques
  • 16.3.6 Algorithmic accountability concepts
  • 16.3.6.1 Dimensions of algorithmic accountability
  • 16.3.6.2 Preconditions for algorithmic accountability
  • 16.3.6.3 Dilemmas and issues with algorithmic accountability
  • 16.3.7 Open issues for protecting privacy using Big Data and SDN
  • 16.4 Conclusion
  • Acknowledgment
  • References

Inspec keywords: software defined networking; Big Data; computer network security; data protection

Other keywords: information privacy; privacy design; SDN; data privacy; data protection; software-defined networking; Big Data

Subjects: Data security; Computer networks and techniques; Computer communications

Preview this chapter:
Zoom in
Zoomout

How Big Data helps SDN with data protection and privacy, Page 1 of 2

| /docserver/preview/fulltext/books/pc/pbpc015e/PBPC015E_ch16-1.gif /docserver/preview/fulltext/books/pc/pbpc015e/PBPC015E_ch16-2.gif

Related content

content/books/10.1049/pbpc015e_ch16
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address