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IBL-26-1468

Chaos-based encryption device and method for Body Area Networks

Listed on
2026-10-28
Body Area Network Bio-Image Encryption Device Based on Logistic-Tent Dual Chaos Mapping

This technology is an encryption device and method for Body Area Networks (BAN) that generates an encrypted image by performing an XOR operation on the original image data matrix using a 2D chaos matrix, which combines sub-chaos matrices created from logistic and tent chaos mappings. It expands the key space by independently setting the initial parameters for the two chaotic sequences.

Body Area Networks handle sensitive biometric signals from patients with chronic conditions like hypertension and diabetes, but existing encryption methods have been vulnerable to attacks due to small key spaces. Public-key based techniques are unsuitable for ultra-low-power BAN nodes due to high computational and power demands, while methods generating keys from channel characteristics or physiological signals have limited cryptographic strength due to eavesdropper proximity or signal similarity.

This technology combines two distinct chaos maps to enhance key sensitivity and attack resistance while performing encryption through lightweight, XOR-based operations. Applicable to wearable healthcare devices, remote biometric diagnostics, and emergency medical data transmission systems, it provides robust privacy protection for patient biometric data even on low-power sensor nodes.

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Key Features:
  • An image input unit that reads the original image to form an original image data matrix
  • A logistic chaos mapping unit that constructs a sub-chaos matrix based on a 1D chaotic sequence generated by logistic chaos mapping
  • A tent chaos mapping unit that constructs a sub-chaos matrix based on a 1D chaotic sequence generated by tent chaos mapping
  • An encrypted image generation unit that performs an XOR operation between the original image data matrix and a 2D chaos matrix formed by combining the two sub-chaos matrices to generate an encrypted image matrix

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Incheon National University
Jeon Gwang-gil
Document
Date of application:
2018-03-02
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Patent registration number:
10-2031235
Industry
IT•internet
healthcare•pharm
Technology
Cyber security
Image processing
Country
Korea
Family Patent

N/A

Price
7000000
Fixed price
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