Abstract
In this modern and technological world, medical field has also enhanced and digitized itself to help patients and medical professionals as per the need of the time. Most of the time, patients do not have serious medical problems. They only need some expert suggestions from a medical professional. In these times of crisis, medical professionals can help such patients via telecommunications. In serious medical conditions also, telecommunication plays an important role in helping patients as well as medicos. Thus, in the field of healthcare, conventional diagnostic methods are gradually being taken over by digital mode of diagnostics. Almost every component of medical field is in the process of digitization. This digital data can be used at convenient stages for the diagnosis of patients in the form of a patient medical record digitally stored over the Internet. Further, these medical data can also be used to predict future disease in patients and advise accordingly.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Barni, M., Bartolini, F., Cappellini, B., & Piva, A. (1998). DCT domain system for robust image watermarking. Signal Processing, 66, 357–372.
Madhu, B., Holi, G., & Srikanta Murthy, K. (2016). An overview of image security techniques. International Journal of Computer Applications, 154(6), 37–46.
Fraser, S. I., Allen, A. R.. (2012). A high capacity reversible watermarking techniques based on difference expansion. In: Proceedings of signal and image processing SIP-2008, Kailua-Kona, HI, USA.
Khanna, A. K., Roy, N. R., & Verma, B. (2016). Digital image watermarking and its optimization using genetic algorithm. In International conference on computing, communication and automation (ICCCA). IEEE.
Rao, R. S. P., & Kumar, P. R. (2016). An efficient genetic algorithm based gray scale digital image watermarking for improving the robustness and imperceptibility. In International conference on electrical, electronics, and optimization techniques (ICEEOT). IEEE.
Takore, T. T., Rajesh Kumar, P., & Lavanya Devi, G. (2016). Efficient gray image watermarking algorithm based on DWT-SVD using genetic algorithm. In International conference on information communication and embedded systems (ICICES). IEEE.
Giakoumaki, S., & Pavlopulos, D. K. (2011). Multiple image watermarking applied to health information management. IEEE Transactions on Information Technology in Bio-Medicine, 10, 4.
Baaziz, N., Zheng, D., & Wang, D. (2011). Image quality assessment based on multiple watermarking approach. In IEEE 13th international workshop on multimedia signal processing (MMSP) (pp. 1–5). IEEE.
Usman, A. K. (2010). BCH coding and intelligent watermark embedding: Employing both frequency and strength selection. Applied Soft Computing, 10(1), 332–343.
Karras, D. A. (2005). A second order spread spectrum modulation scheme for wavelet based low error probability digital image watermarking. ICGST International Journal on Graphics, Vision and Image Processing, 3, 5.
Hai-mei, S., Tian-can, M., & Qian-ging, Q. (2004). Spread spectrum watermark based on wavelet transform for still digital image. Wuhan University Journal of Natural Sciences, 9(2), 203–208.
Enayatifar, R., & Abdullah, A. H. (2014). Chaos-based image encryption using a hybrid genetic algorithm and a DNA sequence. Optics and Lasers in Engineering, 56, 83–93.
Bhandari, K., Mitra, S. K., & Jadhav, A. (2005). A hybrid approach to digital image watermarking using singular value decomposition and spread spectrum. In International conference on pattern recognition and machine intelligence, PReMI-05 (pp. 447–452). IEEE.
Tripathi, M. M. (2018). Designing a model to improve medical image watermarking. PhD Thesis, TMU Moradabad.
Priego, B., Souto, D., Peña, F. L., & Duro, R. J. (2011). An ANN based hyperspectral waterway control and security system. In IEEE international conference on computational intelligence for measurement systems and applications (CIMSA) proceedings. IEEE.
Kishore, P. V. V., Sai Prajwal, K., Kamal Mohan, M., Koteswarao, S. (2015) Medical image watermarking with ANN in wavelet domain. IEEE International Conference on Electronics,Computing and Communication Technologies (CONECCT).
Khanna, A. K., Roy, N. R., Verma, B. (2016) Digital image watermarking and its optimization using genetic algorithm. International Conference on Computing, Communication and Automation (ICCCA).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Tripathi, M.M., Haroon, M., Khan, Z., Husain, M.S. (2022). Security in Digital Healthcare System. In: Husain, M.S., Adnan, M.H.B.M., Khan, M.Z., Shukla, S., Khan, F.U. (eds) Pervasive Healthcare. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-77746-3_15
Download citation
DOI: https://doi.org/10.1007/978-3-030-77746-3_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-77745-6
Online ISBN: 978-3-030-77746-3
eBook Packages: EngineeringEngineering (R0)