Fog-Assisted Data Security and Privacy in Healthcare
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With the advancement in the aging of world’s population and increments of people having chronic diseases, resulted in high demand for expensive medical treatment and care. In this view, the usage of latest technology solutions has been utilized at wide stage in order to improve the health of patient. One of the most prominent solution in this regard is the usage of cloud computing technology for the storage and process of patient health record. The medical data such as CT scan, MRI, X-rays, heart or kidney transplantation videos, and other health information should be available in digital format and such type of huge multimedia big data needs to be kept in the cloud. But, this usage of cloud computing can introduce delay while processing the data which is not tolerable. To deal with this problem, fog computing is used, which allows the data storage and its processing near to the data source. But it also brings with itself many security challenges such as data availability, security, privacy, performance, and interoperability, which requires high consideration. This chapter concentrates on these issues, i.e., how patient data can be retrieved for monitoring while reducing the latency and securing the private data of patient. A pairing-based cryptography technique such as an elliptic curve Diffie–Hellman key agreement protocol and a decoy technique are used to access and store data more securely along with the help of some cryptographic algorithms. In this chapter, we have also exasperated to gather some of the security matters which may stand up in the healthcare sector, and also discuss existing resolutions and emergent threats.
KeywordsAttack Availability Healthcare Integrity Privacy Security
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