EyeEncrypt: A Cyber-Secured Framework for Retinal Image Segmentation

Govardhan Hegde, Shourya Gupta, Gautham Manuru Prabhu, Sulatha V. Bhandary

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Concerns in information and data security are addressed based on implementing practices to enhance data security mechanisms and feedbacks. Recent medical data breaches across the globe and rising cybersecurity threats from cyber warfare make research into data privacy more crucial in the system’s overall design. The advent of telemedicine and research in the applications of artificial intelligence in the medical domain makes a case for integrating enhanced image analysis inside a secure framework. The proposed modality implements critical principles of “authentication, authorization data integrity, data confidentiality, and the Principle of Least Privilege.” The use case chosen for this paper is on a retinal image DRIVE dataset. Retinal images have several applications in the field of medicine, which include the early detection of various diseases such as glaucoma. Characteristics intrinsic to retinal images make the vessel detection process difficult. Our proposed framework EyeEncrypt, aids in effective medical image segmentation on a secure integrated framework.

Original languageEnglish
Title of host publicationApplications and Techniques in Information Security - 13th International Conference, ATIS 2022, Revised Selected Papers
EditorsSrikanth Prabhu, Shiva Raj Pokhrel, Gang Li
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages12
ISBN (Print)9789819922635
Publication statusPublished - 2023
Event13th International Conference on Applications and Techniques in Information Security, ATIS 2022 - Manipal, India
Duration: 30-12-202231-12-2022

Publication series

NameCommunications in Computer and Information Science
Volume1804 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937


Conference13th International Conference on Applications and Techniques in Information Security, ATIS 2022

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)


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