Abstract
The transmission of confidential information over an open communication channel is susceptible to many threats like copyright infringement, eavesdropping and hacking. In this paper, we propose a solution combining data encryption techniques and multiscale signal analysis for securing patients’ confidential data. Discrete Wavelet Transform (DWT) is first applied to an ECG signal. The confidential patient information and the electrocardiogram (ECG) signal are then encrypted with the Advanced Encryption Standard (AES) method. Finally, the output of the encryption is hidden in an image to form the stego image and transferred to a medical server. While cryptography ensures the confidentiality of the data modified by the encryption process, steganography enhance the security. The evaluation of the proposed system was performed with real data and quantitative parameters such as Percent Residual Difference (PRD), Mean Squared Error (MSE) and Peak Signal to Noise Ratio (PSNR). The experimental results show the proposed scheme has a good encryption effect and a strong ability to resist detection compared with the existing methods.
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References
Apnea-ECG Database. www.physionet.org/content/apnea-ecg/1.0.0/. Accessed 9 Nov 2021
Abd Elminaam, D.S., Abdual-Kader, H.M., Hadhoud, M.M.: Evaluating the performance of symmetric encryption algorithms. Int. J. Netw. Secur. 10(3), 216–222 (2010)
Abdullah, A.: Advanced encryption standard (AES) algorithm to encrypt and decrypt data, June 2017
Abdur Razzaq, M., Shaikh, R., Adnan, M., Ahmed, A.: Digital image security: fusion of encryption, steganography and watermarking. Int. J. Adv. Comput. Sci. Appl. 8 (2007). https://doi.org/10.14569/IJACSA.2017.080528
Bhardwaj, R., Sharma, V.: Image steganography based on complemented message and inverted bit LSB substitution. Procedia Comput. Sci. 93, 832–838 (2016). https://doi.org/10.1016/j.procs.2016.07.245, www.sciencedirect.com/science/article/pii/S1877050916314879
Chan, C.K., Cheng, L.: Hiding data in images by simple LSB substitution. Pattern Recogn. 37, 469–474 (2004). https://doi.org/10.1016/j.patcog.2003.08.007
jin Chen, D., Wan, S., Xiang, J., Bao, F.S.: A high-performance seizure detection algorithm based on discrete wavelet transform (DWT) and EEG. PLoS ONE 12, e0173138 (2017)
Cheng, L.T., Yang, C.Y.: High performance electrocardiogram steganography based on fast discrete cosine transform. Int. J. Inf. Control Comput. Sci. 11(7) (2018). https://doi.org/10.5281/zenodo.1317262
Elhoseny, M., Ramírez-González, G., Abu-Elnasr, O.M., Shawkat, S.A., Arunkumar, N., Farouk, A.: Secure medical data transmission model for IoT-based healthcare systems. IEEE Access 6, 20596–20608 (2018). https://doi.org/10.1109/ACCESS.2018.2817615
Hashim, M., Taha, M.S., Aman, A.H.M., Hashim, A.H.A., Rahim, M.S.M., Islam, S.: Securing medical data transmission systems based on integrating algorithm of encryption and steganography. In: 2019 7th International Conference on Mechatronics Engineering (ICOM), pp. 1–6. IEEE (2019)
Hashim, M., Taha, M., Aman, A., Hashim, A., Rahim, M., Islam, S.: Securing medical data transmission systems based on integrating algorithm of encryption and steganography. In: 2019 7th International Conference on Mechatronics Engineering (ICOM), pp. 1–6, October 2019. https://doi.org/10.1109/ICOM47790.2019.8952061
Hureib, E., Gutub, A.A.: Enhancing medical data security via combining elliptic curve cryptography and image steganography. Int. J. Comput. Sci. Netw. Secur. 20(8), 1–8 (2020)
Hureib, E., Gutub, A.: Enhancing medical data security via combining elliptic curve cryptography and image steganography, Vol. 20, pp. 1–8 , August 2020
Ibaida, A., Khalil, I.: Wavelet-based ECG steganography for protecting patient confidential information in point-of-care systems. IEEE Trans. Bio-med. Eng. 60 (2013). https://doi.org/10.1109/TBME.2013.2264539
Nemcová, A., Smisek, R., Maršánová, L., Smital, L., Vitek, M.: A comparative analysis of methods for evaluation of ECG signal quality after compression. BioMed Res. Int. 2018 (2018). https://doi.org/10.1155/2018/1868519
Pandey, H.: Secure medical data transmission using a fusion of bit mask oriented genetic algorithm, encryption and steganography. Fut. Gene. Comput. Sys. 111 (2020). https://doi.org/10.1016/j.future.2020.04.034
Pawar, K., Naiknaware, D.: AES encrypted wavelet based ECG steganography. Int. J. Eng. Tech. 4 (2018)
Penzel, T., Moody, G., Mark, R., Goldberger, A., Peter, J.: The apnea-ECG database. In: Proceedings of Conference Computers in Cardiology 2000, vol. 27, pp. 255–258 (2000). https://doi.org/10.1109/CIC.2000.898505
Priya, J., Suganya, R.: Steganography techniques for ECG signals: a survey. In: 2016 11th International Conference on Industrial and Information Systems (ICIIS), pp. 269–273 (2016). https://doi.org/10.1109/ICIINFS.2016.8262949
Rajoub, B.: An efficient coding algorithm for the compression of ECG signals using the wavelet transform. IEEE Trans. Bio-med. Eng. 49, 355–362 (2002). https://doi.org/10.1109/10.991163
Roy, R., Changder, S.: Quality evaluation of image steganography techniques: a heuristics based approach. Int. J. Secur. Appl. 10, 179–196 (2016)
Edward Jero, S., Ramu, P., Ramakrishnan, S.: Discrete wavelet transform and singular value decomposition based ECG steganography for secured patient information transmission. J. Med. Syst. 38(10), 1–11 (2014). https://doi.org/10.1007/s10916-014-0132-z
Santiago, A.M., et al.: Lightweight security hardware architecture using dwt and AES algorithms. IEICE Trans. Inf. Syst. E101.D(11), 2754–2761 (2018). https://doi.org/10.1587/transinf.2018EDP7174
Zhang, Y., Xie, K., Ruan, O.: An improved and efficient mutual authentication scheme for session initiation protocol. PLoS ONE 14, e0213688 (2019). https://doi.org/10.1371/journal.pone.0213688
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Ngom, A., Djimnaibeye, S., Ngom, N.F., Sidibé, S., Niang, O. (2022). A New Wavelet Based Steganography Method for Securing Medical Data. In: Mambo, A.D., Gueye, A., Bassioni, G. (eds) Innovations and Interdisciplinary Solutions for Underserved Areas. InterSol 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 449. Springer, Cham. https://doi.org/10.1007/978-3-031-23116-2_10
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