A novel fused coupled chaotic map based confidential data embedding-then-encryption of electrocardiogram signal

• Autorzy: Pandey Anukul , Singh Butta , Saini Barjinder Singh , Sood Neetu

Identyfikatory

DOI

10.1016/j.bbe.2018.11.012

• Języki publikacji: EN

Abstrakty

EN

In telecardiology applications, research has been underway to protect the patient's confi-dential information from unauthorized access using Electrocardiogram (ECG) steganogra-phy or encryption approaches. A novel Fused Coupled Chaotic Map (FCCM) structure based integrated embedding-then-encryption approach is proposed for patient's confidential data embedding in ECG and its subsequent encryption. The proposed ECG embedding-then- encryption algorithm consists of four phases: confidential data ciphering, LSB embedding, substitution, and permutation. Four FCCMs under different initial conditions and control parameters undergoes level shifting or sorting based quantization. The updation of control parameters made to be ECG content aware of security enhancement. The generated {FCCM_i,: i ε (1–4)} are applied to (i) cipher confidential data, (ii) craft the embedding locations to hide segmented-ciphered confidential data, (iii) substitution and (iv) permutation processes for data embedding-then-encryption of ECG. The performance of the proposed method was evaluated over MIT-BIH Arrhythmia and self-recorded ECG (lead-II) database. The test suites NIST-800 and 0-1 are employed to check randomness of chaotic sequences. The PRD, PRDN, PRD1024, RMS, SNR, PSNR, WWPRD, WEDD, and BERs were 0.04, 1.05, 0.75, 5.55 x 10^-4, 41.21, 70.17, 3.02 x 10^-2, 5.91 x 10^-3, and 0.00 for MIT-BIH Arrhythmia ECG database (Lead-II) at payload 2.4Kb. Performance measures for Self-recorded dataset are 0.04, 2.62, 2.62, 5.49 x 10^-4, 32.16, 68.72, 9.36 x 10^-2, 1.93 x 102, and 0.00 respectively. Experimental results, security analysis and comparison with existing state-of-art methods prove the effectiveness of the proposed approach for assured patient's confidential data security. Furthermore, the efficiency of the proposed approach has also been evaluated on compressed ECG.

Słowa kluczowe

EN

electrocardiogram embedding; electrocardiogram steganography; electrocardiogram encryption; patient privacy; coupled chaotic map; LSB embedding

PL

steganografia EKG; szyfrowanie EKG; prywatność pacjenta

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2019
• Tom: Vol. 39, no. 2
• Strony: 282--300
• Opis fizyczny: Bibliogr. 41 poz., rys., tab., wykr.

Twórcy

autor

Pandey Anukul

• Department of Electronics and Communication Engineering, Dr B R Ambedkar National Institute of Technology, Jalandhar 144011, India; Department of Electronics and Communication Engineering, Dumka Engineering College, Dumka, India

autor

Singh Butta

• Department of Electronics and Communication Engineering, Guru Nanak Dev University, Jalandhar, India

autor

Saini Barjinder Singh

• Department of Electronics and Communication Engineering, Dr B R Ambedkar National Institute of Technology, Jalandhar, India

autor

Sood Neetu

• Department of Electronics and Communication Engineering, Dr B R Ambedkar National Institute of Technology, Jalandhar, India

Bibliografia

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).