Skip to main content
Log in

Polynomial cryptographic optical steganography substitution model for the telehealth system with multimedia data

  • Published:
Optical and Quantum Electronics Aims and scope Submit manuscript

Abstract

Telehealth and cloud-based communication platforms now hide medical data. Text and multimedia data are hidden using encryption, steganography, and watermarking. Steganography may hide medical data in images, music, video, text, and more. Using optical lights, optical steganography deciphers concealed messages. This study established an effective optical steganography model for telemedical data security. Polynomial Cryptographic LSB Substitution (PCLSB-S) reduces the distortion and increases medical data imperceptibility by using two-level randomised cryptographic technique with polynomial variable estimation. Advanced encryption standard and polynomial variables for video cover increase data security in which the medical text, picture, and audio payload capacity increased with PCLSB-S model. PCLSB-S model boosts payload and resilience, according to experiments. PCLSN-S model worked for optical steganography.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

Data availability

All the data’s available in the manuscript.

References

  • Abikoye, O.C., Ogundokun, R.O.: Efficiency of LSB on medical information. Int. J. Electr. Comput. Eng. (IJECE) 11(5), 4157–4164 (2021)

    Article  Google Scholar 

  • Adeniyi, E.A., Ogundokun, R.O., Awotunde, J.B.: IoMT-based wearable body sensors network healthcare monitoring system. IoT Healthc. Ambient Assist. Living. 103–121 (2021)

  • Afzal, I., Parah, S.A., Hurrah, N.N., Song, O.Y.: Secure patient data transmission on resource constrained platform. Multimed. Tools Appl. 1–26 (2020)

  • Algarni, A.D., Soliman, N.F., Abdallah, H.A., Abd El-Samie, F.E.: Encryption of ECG signals for telemedicine applications. Multimed. Tools Appl. 80, 10679–10703 (2021)

    Article  Google Scholar 

  • Ayyappan, S., Lakshmi, C., Menon, V.: A secure reversible data hiding and encryption system for embedding EPR in medical images. Curr. Signal Transduct. Ther. 15(2), 124–135 (2020)

    Article  Google Scholar 

  • Birajdar, G.K., Vyawahare, V.A., Raveendran, S., Patil, P.: Transform domain robust watermarking method using Riesz wavelet transform for medical data security and privacy. Adv. Telemed. Health Monit. 259 (2020)

  • Denis, R., Madhubala, P.: Evolutionary computing assisted visually-imperceptible hybrid cryptography and model for secure data communication over cloud environment. Int. J. Comput. Netw. Appl 7, 208–230 (2020)

    Google Scholar 

  • Denis, R., Madhubala, P.: Hybrid data encryption model integrating multi-objective adaptive genetic algorithm for secure medical data communication over cloud-based healthcare systems. Multimed. Tools Appl. 80, 21165–21202 (2021)

    Article  Google Scholar 

  • El-Shafai, W., Khallaf, F., El-Rabaie, E.S.M., El-Samie, F.E.A.: Robust medical image encryption based on DNA-chaos cryptosystem for secure telemedicine and healthcare applications. J. Ambient. Intell. Humaniz. Comput. 12, 9007–9035 (2021)

    Article  Google Scholar 

  • El-Shafai, W., Hemdan, E.E.D.: Robust and efficient multi-level security framework for color medical images in telehealthcare services. J. Ambient Intell. Hum. Comput. 1–16 (2021)

  • Fadoua, S., Hamid, T.: Medical video watermarking scheme for telemedicine applications. In: 2020 1st International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), pp. 1–6 (2020)

  • França, R.P., Iano, Y., Monteiro, A.C.B., Arthur, R.: A methodology for improving efficiency in data transmission in healthcare systems. In: Internet of things for healthcare technologies, pp. 49–70. Springer, Singapore (2020)

    Google Scholar 

  • Gamal, S.M., Youssef, S.M., Abdel-Hamid, A.: Secure transmission and repository platform for electronic medical images: case study of retinal fundus in teleophthalmology. In: 2020 International Conference on Computing, Electronics & Communications Engineering (iCCECE), pp. 9–14 (2020)

  • Ghosh, G., Verma, S., Jhanjhi, N.Z., Talib, M.N.: Secure surveillance system using chaotic image encryption technique. In: IOP conference series: materials science and engineering, vol. 993, p. 012062. IOP Publishing (2020)

  • Gothwal, R., Tiwari, S., Shivani, S., Khurana, M.: Progressive advancements in security challenges, issues, and solutions in e-health systems. In: Intelligent data security solutions for e-health applications, pp. 237–254. Academic Press (2020)

  • Hashim, M.M., Rhaif, S.H., Abdulrazzaq, A.A., Ali, A.H., Taha, M.S.: Based on IoT healthcare application for medical data authentication: towards a new secure framework using . In: IOP Conference Series: Materials Science and Engineering, vol. 881, p. 012120. IOP Publishing (2020)

  • Jan, A., Parah, S.A., Hussan, M., Malik, B.A.: Double layer security using crypto-stego techniques: a comprehensive review. Health Tech. 1–23 (2021)

  • Kumar, N.R., Krishnan, R.B., Manikandan, G., Subramaniyaswamy, V., Kotecha, K.: Reversible data hiding scheme using deep learning and visual cryptography for medical image communication. J. Electron. Imaging 31(6), 063028 (2022)

    ADS  Google Scholar 

  • Magdy, M., Hosny, K.M., Ghali, N.I., Ghoniemy, S.: Security of medical images for telemedicine: a systematic review. Multimed. Tools Appl. 81(18), 25101–25145 (2022)

    Article  Google Scholar 

  • Manikandan, N., Muthaiah, R., Teekaraman, Y., Kuppusamy, R., Radhakrishnan, A.: A novel random error approximate adder-based lightweight medical image encryption scheme for secure remote monitoring of health data. Secur. Commun. Netw. 2021, 1–14 (2021)

    Article  Google Scholar 

  • Ogundokun, R.O., Abikoye, O.C.: A safe and secured medical textual information using an improved LSB image. Int. J. Digit. Multimed. Broadcast. 2021, 1–8 (2021)

    Article  Google Scholar 

  • Okediran, O.: A hybrid cryptosystem and watermarking for secure medical image transmission. Asian J. Res. Comput. Sci. 5(1), 1–14 (2020)

    Article  Google Scholar 

  • Panwar, P., Dhall, S., Gupta, S.: A multilevel secure information communication model for healthcare systems. Multimed. Tools Appl. 80, 8039–8062 (2021)

    Article  Google Scholar 

  • Rizzi, M., D’Aloia, M., Longo, A.: Digital watermarking for healthcare: a survey of ECG watermarking methods in telemedicine. Int. J. Comput. Sci. Eng. 23(3), 235–249 (2020)

    Google Scholar 

  • Sahu, N., Peng, D., Sharif, H.: Diagnosis–transmission: an innovative integrated paradigm for ECG healthcare. SN Comput. Sci. 2(4), 332 (2021)

    Article  Google Scholar 

  • Saracevic, M.H., Selimi, A., Pepić, S.: Implementation of encryption and data hiding in E-health application. In: Research Anthology on Securing Medical Systems and Records, pp. 644–661. IGI Global (2022)

  • Saraswati, K., Sharma, P.S.: A literature survey on steganography approach based on different LSB technique. No 2, 1–6 (2021)

    Google Scholar 

  • Shinde, R., Patil, S., Kotecha, K., Potdar, V., Selvachandran, G., Abraham, A.: Securing AI-based healthcare systems using blockchain technology: a state-of-the-art systematic literature review and future research directions. (2022). arXiv preprint arXiv:2206.04793.

  • Siddiqui, G.F., Iqbal, M.Z., Saleem, K., Saeed, Z., Ahmed, A., Hameed, I.A., Khan, M.F.: A dynamic three-bit image algorithm for medical and e-healthcare systems. IEEE Access 8, 181893–181903 (2020)

    Article  Google Scholar 

  • Vallathan, G., Jayanthi, K.: An integrated and secured medical data framework for effective tele health applications. Int. J. Adv. Intell. Paradig. 18(1), 63–78 (2021)

    Google Scholar 

  • Zhang, H., Sun, S., Meng, F.: A high-capacity and reversible patient data hiding scheme for telemedicine. Biomed. Signal Process. Control 76, 103706 (2022)

    Article  Google Scholar 

Download references

Funding

This research not received any fund.

Author information

Authors and Affiliations

Authors

Contributions

GR: Conceived and design the analysis, Writing- Original draft preparation. SD: Collecting the Data, FA: Contributed data and analysis stools, DV: Performed and analysis, MAA: Performed and analysis, ELL: Wrote the Paper, Editing and Figure Design.

Corresponding author

Correspondence to Gnanajeyaraman Rajaram.

Ethics declarations

Conflict of interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Ethical approval

This article does not contain any studies with animals performed by any of the authors.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Rajaram, G., Dash, S., Arslan, F. et al. Polynomial cryptographic optical steganography substitution model for the telehealth system with multimedia data. Opt Quant Electron 55, 819 (2023). https://doi.org/10.1007/s11082-023-05084-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s11082-023-05084-1

Keywords

Navigation