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<p>Secure and reliable image transmission over wireless networks remains a significant challenge due to the adverse effects of noise, multipath fading, and limited bandwidth. This paper presents a novel framework that integrates enhanced quadratic chaotic maps with advanced channel coding schemes to ensure robust and efficient image encryption and transmission. The proposed chaotic maps address key limitations of conventional approaches, including narrow chaotic parameter ranges and susceptibility to channel-induced errors.Two integrated models are introduced: the first combines chaotic encryption with Low-Density Parity-Check (LDPC) codes to improve robustness in noisy environments, while the second incorporates Raptor codes with Orthogonal Frequency Division Multiplexing (OFDM) to mitigate the effects of multipath fading. The enhanced chaotic behavior of the proposed maps is validated through bifurcation analysis and Lyapunov exponent evaluation. Extensive simulation results demonstrate that the proposed framework consistently achieves superior performance, yielding higher Peak Signal-to-Noise Ratio (PSNR), lower Bit Error Rate (BER), and strong Structural Similarity Index Measure (SSIM) values under challenging wireless conditions. Compared to existing methods, the proposed approach offers enhanced security, improved error resilience, and low computational complexity, making it highly suitable for real-time multimedia applications.</p>

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Efficient implementation of a raptor coding scheme for encrypted image communication over wireless networks

  • 期刊论文

  • 发表日期：

    2026年5月12日

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  • Hayam A. Abd El-Hameed,
  • Walid El-Shafai,
  • Noha Ramadan,
  • N. M. El-Gohary,
  • Ashraf A. M. Khalaf,
  • Hossam Eldin H. Ahmed,
  • M. M. Fouad,
  • Said E. Elkhamy,
  • Fathi E. Abd El-Samie

摘要

Secure and reliable image transmission over wireless networks remains a significant challenge due to the adverse effects of noise, multipath fading, and limited bandwidth. This paper presents a novel framework that integrates enhanced quadratic chaotic maps with advanced channel coding schemes to ensure robust and efficient image encryption and transmission. The proposed chaotic maps address key limitations of conventional approaches, including narrow chaotic parameter ranges and susceptibility to channel-induced errors.Two integrated models are introduced: the first combines chaotic encryption with Low-Density Parity-Check (LDPC) codes to improve robustness in noisy environments, while the second incorporates Raptor codes with Orthogonal Frequency Division Multiplexing (OFDM) to mitigate the effects of multipath fading. The enhanced chaotic behavior of the proposed maps is validated through bifurcation analysis and Lyapunov exponent evaluation. Extensive simulation results demonstrate that the proposed framework consistently achieves superior performance, yielding higher Peak Signal-to-Noise Ratio (PSNR), lower Bit Error Rate (BER), and strong Structural Similarity Index Measure (SSIM) values under challenging wireless conditions. Compared to existing methods, the proposed approach offers enhanced security, improved error resilience, and low computational complexity, making it highly suitable for real-time multimedia applications.