Security and provenance for Internet of Health Things: A systematic literature review

Abstract

Internet of Health Things (IoHT) is an extension of the Internet of Things (IoT), which plays an important role in the observation, consultation, monitoring, and treatment process of remote exchange data processes in healthcare. The integration, computation, and interoperability are facilitated through various sensors, controllers, and actuators. Security is considered as one of the important factors for the communication of these devices to smoothly run the activities of healthcare. The current literature associated to the security of IoHT cover diverse aspects, though there is dire need of the knowledge, which can thoroughly show the review of current state‐of‐the‐art work in a systematic way. To overcome this limitation, the planned study offerings a systematic literature review (SLR) for the IoHT security and provenance. This review will support researchers to take benefit from the present literature and devise novel solutions considering the current study as evidence in IoHT. This paper focused on the security analysis and provenance for the IoHT and answering the defined questions in the current study.

Identification and prioritization of security challenges of big data on cloud computing based on SLR: A fuzzy‐TOPSIS analysis approach

“…These SLR guidelines have three key steps, which are planning the review, conducting the review, and reporting the review. A similar approach was applied by many other researchers in their studies 41–54 . We will discuss in detail below all in SLR protocols.…”

Data Protection and Privacy of the Internet of Healthcare Things (IoHTs)

“…This includes lack of authorization/insufficient authentication, insecure web interfaces, lack of transport encryption, insecure network services, privacy concerns, insecure cloud interfaces, inadequate security configuration, insecure software or firmware, poor physical security, and insecure mobile interfaces [60]. Interested readers can refer to [61,62] for detailed security issues concerning IoHT.…”

A lightweight noise-tolerant encryption scheme for secure communication: An unmanned aerial vehicle application

“…To reduce time complexity, images can be encrypted using chaos and transformation techniques such as Discrete Cosine transform (DCT) and DWT [19][20][21][22][23][24][25][26][27][28]. In the past few years, chaos has played a vital role in image encryption due to its some unique features such as sensitivity in initial conditions, unpredictability, pseudo randomness, ergodicity, and non-deterministic behavior [29][30][31][32][33][34]. Chaotic systems can be divided into low-dimensional and highdimensional maps.…”