Facial Image Encryption & Compression for Secure Image Transmission on Cloud Storage

Authors

  • Pranali Dahiwal Savitribai Phule Pune University, Pune, India
  • Anagha Kulkarni Cummins College of Engineering for Women, Pune, India

Keywords:

Image Segmentation, Image Encryption, AES, XOR, Authentication, Privacy, Security

Abstract

Image transmission and face image recognition have grown quite popular among cloud computing users in today's world via different mobile devices. However, because the data is personal, the privacy and security of such data are critical while using the cloud platform. Security features must be used while transmitting images through the cloud. picture encryption is a form of such secure picture communication technology. However, because picture transmission is commonly utilized for face image identification for authentication purposes, the transmission time is critical. In this study, we solve this issue by encrypting images using the Advanced Encryption Standards (AES) and the XOR technique. We propose utilizing the XOR encryption technique to encrypt segmented images. We conducted picture transmission experiments employing 3*1,3*2 and 3*3 images that were segmented with an encryption method and discovered that our suggested XOR-based image segmentation surpassed the existing AES approach in terms of time complexity.

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Published

30.11.2023

How to Cite

Dahiwal, P., & Kulkarni, A. . (2023). Facial Image Encryption & Compression for Secure Image Transmission on Cloud Storage. International Journal of Intelligent Systems and Applications in Engineering, 12(6s), 615–621. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/4000

Issue

Vol. 12 No. 6s (2024)

Section

Research Article

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