Abstract
Healthcare cybersecurity has surfaced as the industry’s greatest serious extortions. The potential dangers of Web-based healthcare systems have rapidly increased, attracting the hacker community. When patient health records are digitized, there is a risk that sensitive health information will be compromised, and sensitive data may be leaked to hackers and used against them. Health data are a valuable asset in the cybercriminal world, making it a target for hacking. Because the well-being of sick people is jeopardized, healthcare entities are more in the offing to pay ransomware burdens.
Amola Srivastava contributed equally to this work.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Rawat A, Gochhait S (2022) Iot enabled mental health diagnostic system leveraging cognitive behavioural science. In: 2022 international conference on Decision Aid Sciences and Applications (DASA), pp 1401–1405. https://doi.org/10.1109/DASA54658.2022.9765032
Gochhait S et al (2020) Implementation of EHR using digital transformation: a study on telemedicine. In: 2020 International Conference for Emerging Technology (INCET), pp 1–4. https://doi.org/10.1109/INCET49848.2020.9154146
Pathapati M, Gochhait S (2022) Intelligent data management to facilitate decision-making in healthcare. In: 2022 international conference on Decision Aid Sciences and Applications (DASA), pp 1–5. https://doi.org/10.1109/DASA54658.2022.9765260
Aich S, Tripathy S, Il Joo M, Kim HC (2021) Critical dimensions of blockchain technology implementation in the healthcare industry: an integrated systems management approach. Sustainability 13(9). https://doi.org/10.3390/su13095269
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Gochhait, S., Srivastava, A. (2023). Security Threats in Healthcare Systems—A Bibliometric Study. In: Gunjan, V.K., Zurada, J.M. (eds) Proceedings of 3rd International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications. Lecture Notes in Networks and Systems, vol 540. Springer, Singapore. https://doi.org/10.1007/978-981-19-6088-8_2
Download citation
DOI: https://doi.org/10.1007/978-981-19-6088-8_2
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-6087-1
Online ISBN: 978-981-19-6088-8
eBook Packages: EngineeringEngineering (R0)