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LSTM-driven chaotic keystream generator for robust medical image encryption.

Raavi Niharika1, Mathivanan Ponnambalam2, Maran Ponnambalam1

  • 1Department of ECE, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai, India.

Scientific Reports
|April 24, 2026
PubMed
Summary

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This summary is machine-generated.

This study introduces a novel hybrid encryption method for secure medical image transmission. Integrating long short-term memory (LSTM) networks with chaotic maps enhances security and efficiency in digital healthcare.

Area of Science:

  • Medical Imaging
  • Cybersecurity
  • Applied Mathematics

Background:

  • Digital healthcare and telemedicine necessitate secure medical image transmission and storage.
  • Conventional encryption methods struggle with large medical image data volumes and pixel correlations.
  • Existing chaos-based encryption has limitations in key space and periodicity due to finite precision.

Purpose of the Study:

  • To develop a novel, secure, and efficient hybrid encryption scheme for medical images.
  • To address the limitations of conventional and existing chaos-based encryption methods.
  • To improve the robustness and key space of image encryption techniques.

Main Methods:

  • A hybrid encryption scheme integrating Long Short-Term Memory (LSTM) networks with chaotic maps.
Keywords:
Bifurcation analysisChaotic systemImage encryptionLong short-term memory (LSTM) networksLyapunov exponent

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  • Generation of adaptive keystreams using a hash float-seeded chaotic map and statistical features.
  • Experimentation with three variants: LSTM+Logistic, LSTM+sine map, and LSTM+Chebyshev map.

    • Main Results:

    • All three hybrid models demonstrated strong encryption performance.
    • The LSTM+Logistic map variant showed superior performance in randomness, noise, and crop attack resistance.
    • Achieved high NPCR (99.62%), UACI (39.59%), and entropy (7.975).

    Conclusions:

    • The proposed hybrid encryption method offers enhanced security and computational efficiency for medical images.
    • The LSTM+Logistic map variant provides a robust solution for secure medical image transmission.
    • The method is suitable for practical deployment in digital healthcare systems.