A novel double layered security for medical images using hybrid Stegano-Crypto technique

Authors

  • Arul Suresh Research Scholar, Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli
  • J. Jude Moses Anto Devakanth Research Scholar, Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli
  • R. Balasubramanian Professor, Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli

Keywords:

Steganography, Cryptography, LSB, BHA, HSA, AES, DES, RSA

Abstract

Nowadays, security is one of the most pressing issues affecting people all over the world. Different approaches for records concealment, such as steganography and cryptography, have been developed in order to safeguard information by transforming it into an unrecognisable format. This work also proposes novel approaches in which Cryptography and Steganography are used together to encrypt data as well as cover the statistics in some other media by image processing. In the proposed method, the patient details are attached as a secret message within the medical images. The medical images used in the proposed technique are Chest X-ray images which find its application in Tuberculosis prediction. The hybrid approach makes the communication better and secure as the attackers can’t able to view the patient details. Few existing Cryptography and Steganography algorithms such as LSB, BHA, HSA and AES, DES, RSA are implemented and the performance are compared. The best performing algorithm in both Cryptography and Steganography techniques are taken for hybridization. The proposed method provides double layer security as it combines the advantages of two security methods such as Cryptography and Steganography.

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Published

18-10-2022

How to Cite

Suresh, A., Devakanth, J. J. M. A., & Balasubramanian, R. (2022). A novel double layered security for medical images using hybrid Stegano-Crypto technique. International Journal of Health Sciences, 6(S10), 267–284. Retrieved from https://sciencescholar.us/journal/index.php/ijhs/article/view/13442

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Peer Review Articles

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