Personalized information encryption using ECG signals with chaotic functions

Chen, Ching-Kun; Lin, Chun-Liang; Chiang, Cheng-Tang; Lin, Shyan-Lung

doi:10.1016/j.ins.2012.01.016

Cited by 49 publications

(25 citation statements)

References 29 publications

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“…In [10], a personalized information encryption scheme using ECG signals with chaotic functions was proposed. In this scheme, the Lyapunov exponent of an ECG signal is used as the initial states of two pseudorandom number generators composed of a logistic map and a Henon map, respectively.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, dynamics of any chaotic map in the digital domain are degenerated and may seriously influence the security of the supporting encryption function [12,13]. The paper [10] skipped the problem and did not provide any information on the concrete functions used for diffusion and confusion, which violates some basic design principles summarized in [4]. To improve the scheme proposed in [10], Ye and Huang proposed an image encryption algorithm based on autoblocking and electrocardiography (IEAE) in [14].…”

Section: Introductionmentioning

confidence: 99%

“…The paper [10] skipped the problem and did not provide any information on the concrete functions used for diffusion and confusion, which violates some basic design principles summarized in [4]. To improve the scheme proposed in [10], Ye and Huang proposed an image encryption algorithm based on autoblocking and electrocardiography (IEAE) in [14]. Their method is to use an ECG signal to generate the initial keys to control the whole encryption process composed of block-wise matrix multiplications.…”

Section: Introductionmentioning

confidence: 99%

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Cryptanalyzing an Image Encryption Algorithm Based on Autoblocking and Electrocardiography

et al. 2018

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This paper analyzes the security of an image encryption algorithm proposed by Ye and Huang [IEEE MultiMedia, vol. 23, pp. 64-71, 2016]. The Ye-Huang algorithm uses electrocardiography (ECG) signals to generate the initial key for a chaotic system and applies an autoblocking method to divide a plain image into blocks of certain sizes suitable for subsequent encryption. The designers claimed that the proposed algorithm is "strong and flexible enough for practical applications". In this paper, we perform a thorough analysis of their algorithm from the view point of modern cryptography. We find it is vulnerable to the known plaintext attack: based on one pair of a known plain-image and its corresponding cipher-image, an adversary is able to derive a mask image, which can be used as an equivalent secret key to successfully decrypt other cipherimages encrypted under the same key with a non-negligible probability of 1/256. Using this as a typical counterexample, we summarize security defects in the design of the Ye-Huang algorithm. The lessons are generally applicable to many other image encryption schemes.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Cryptanalyzing an Image Encryption Algorithm Based on Autoblocking and Electrocardiography

et al. 2018

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“…The permutation and substitution processes can be used in spatial based image encryption algorithms like Data Encryption Standard (DES) [15], Advanced Encryption Standard (AES) [23], Rivest, Shamir and Adleman (RSA) [24], P-Fibonacci transform [25], wave transmission [26], elliptic curve ElGamal [27], gray code [28], random grids [29], Latin squares [30] and chaotic mapping [31].…”

Section: Related Workmentioning

confidence: 99%

“…Chen et al [31] developed an encryption method based on Henon chaotic function and Logistic map for encrypting image and the secret key respectively.…”

Section: Related Workmentioning

confidence: 99%

Image Encryption Technique based on the Entropy Value of a Random Block

Al-Husainy¹,

Uliyan²

2017

ijacsa

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Abstract-The use of digital images in most fields of information technology systems makes these images usually contain confidential information. When these images transmitted via the Internet especially in the Cloud, it becomes necessary to protect these images in a way that ensure putting the confidential information that are contained far away from the attackers. A proposed image encryption technique has been presented in this work. This technique used a secret key that is extracted from the image content itself. Therefore, there is no need to find a secret channel to exchange any key where, sender and receiver authenticate each other with regards to a shared secret key extracted from the image. The technique constructs its secret key that is used to encrypt the image, based on the entropy values of a set of randomly selected blocks from the image itself. Vairous experiments have been conducted to evaluate the strength and performance of the technique. The experimental results shows that the proposed technique can be used effectively in the field of image security to protect and authenticate images.

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A generalised wavelet packet‐based anonymisation approach for ECG security application

Mahmoud

2016

Security Comm Networks

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An electrocardiogram (ECG) signal contains cardiovascular information, which is private in nature. Therefore, during the distribution and storage of an ECG in a public repository, it is necessary to anonymise the ECG data. An eavesdropper could record an unsecured ECG and use it as recognition data to gain access via an ECG biometric system. Anonymised ECG data also hide cardiovascular details of a patient upholding Health Information Protection and Privacy Act (1996) regulations. In this paper, a generalised wavelet packet-based ECG anonymisation framework is proposed. The proposed method uses wavelet packet transform and reversible function and/or operation to conceal fiducial and non-fiducial features from normal and abnormal ECG signals. At the receiver end, only authorised personnel possessing a secret key and know the reversible function will be able to reconstruct the original ECG from the anonymised ECG. Performance analysis using cross correlation, power spectral density and percentage residual difference methods show that the proposed anonymisation algorithm conceals fiducial and non-fiducial features in normal and abnormal ECG signals. Moreover, the reconstructed ECG is highly correlated with the original ECG, which achieves a lossless reconstruction of the ECG data and proves the robustness of the proposed method. It is found from the performance analysis results that the proposed anonymisation scheme provides high-security protection to ECG data and patient privacy.

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Personalized information encryption using ECG signals with chaotic functions

Cited by 49 publications

References 29 publications

Cryptanalyzing an Image Encryption Algorithm Based on Autoblocking and Electrocardiography

Cryptanalyzing an Image Encryption Algorithm Based on Autoblocking and Electrocardiography

Image Encryption Technique based on the Entropy Value of a Random Block

A generalised wavelet packet‐based anonymisation approach for ECG security application

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