Abstract
In the current era, big data represents a new technological paradigm, and data is supposed to be generated with high volume, velocity, and variety. The health care industry is also subjected to generate massive volume of data historically, it is derived by record keeping, compliance, patient care, and regulatory requirements. The health care services are growing smart each day with the latest advancements such as Telehealth, IoMT (Internet of Medical Things), telecommunication technologies, and smart sensors. However, it has remained the most complex task to decide on allowable uses of data while also considering the security of data and patients’ right to privacy. It is most substantial to deploy all advancements of health care when security and privacy issues are correctly addressed. The trustworthy big data environment in health care can only be developed if limitations and envision directions of the latest advancements are clear. The research highlights privacy and security challenges in big data such as data breaches in wireless body area networks or securing unauthorized transmission of patients’ sensitive information, and compromised nodes. Along with an assessment of security and privacy issues, the paper also presents ways to address these challenges. Some of them include techniques such as data encryption, data masking, access control, authentication. The emphasis is on techniques proposed by relevant literature to address the security and privacy risk along with making evaluations about what benefits it can provide towards overcoming the big health care data challenges.
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Ahtesham, M. (2022). Bigdata Applications in Healthcare: Security and Privacy Challenges. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2022. Lecture Notes in Networks and Systems, vol 455. Springer, Cham. https://doi.org/10.1007/978-3-031-02447-4_24
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