Skip to main content

Permutation–Substitution Based Image Encryption Algorithms Using Pseudorandom Number Generators

  • Chapter
  • First Online:
Book cover Handbook of Computer Networks and Cyber Security

Abstract

This chapter introduces the concept of Random Number Generators, and how they can be used to effectively, quickly, and securely encrypt data in the form of an image. The structure of an image is also explored as a preliminary, and different tests that are exclusive to image encryption were analyzed for two different works of image encryption research.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 299.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kishore Bhamidipati .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Bhamidipati, K., Annadurai, S. (2020). Permutation–Substitution Based Image Encryption Algorithms Using Pseudorandom Number Generators. In: Gupta, B., Perez, G., Agrawal, D., Gupta, D. (eds) Handbook of Computer Networks and Cyber Security. Springer, Cham. https://doi.org/10.1007/978-3-030-22277-2_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-22277-2_33

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-22276-5

  • Online ISBN: 978-3-030-22277-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics