A joint resource-aware and medical data security framework for wearable healthcare systems

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Top Highlights

• The Internet of Things (IoT) is a transformative and evolving paradigm which has got attention in several application domains including smart homes, smart environment, personal, and remote healthcare among others

• One of the essential domains that will be intensely influenced by the IoT is health monitoring applications

• The IoMT is receiving attention owing to the occurrence of state-of-the-art products including magnetic resonance imaging (MRI), handy ultrasound devices, and wearable devices which will facilitate the streamlining of health procedures including tele-tracking of patients and disease diagnosis among others

• In IoMT, wireless medium is used to transfer medical information between entities, so there is a possibility that unauthorized person can eavesdrop on the communication using several attacks

• The data privacy and security of patient associated data are two essential conceptions of IoMT

• n the context of patient’s information safety and privacy, it needs to be acquired, accumulated and sent securely to the authorized person

• The widespread use of IoMT devices provides a better guarantee for people’s health [16]; however, it also puts much pressure on information security and privacy protection

• Moreover, by the real-time implementation of IoMT without bearing in mind patient’s data confidentiality and security will allow unauthorized people to eavesdrop medical information during its transmission between wireless devices

• As a result, the privacy of subjects is comprised, and hackers may put critical data on public websites for illegal usage

• Some treatments may be costly, in case fraudsters get information on physician services, can damage a victim’s financial well-being

• can be utilized in several wicked ways such as

• Attackers, who are not ill and do not require treatment, can obtain a reasonable income ordering some expensive drugs by using medical cardholder so that they can get resale medicines

• If criminals manage to get in touch with a devious clinic, an insurance company may be billed for services that have never been rendered, and the money will be distributed among clinic and fraudsters

• Therefore, this study aims to develop a joint resource-aware security model for IoMT based remote healthcare

• proposed model, medical information will be encrypted before transmitting to its destination node in order to guarantee privacy and security

• Moreover, bio-key generation mechanism developed in this study will make it difficult for hackers to use the previous session information to decrypt current session message

• This research will not only reduce the economic cost in the medical market across the globe with economical healthcare facilities but also guarantee the security of real-time health data transmission between patients and doctors

• Machine learning and artificial intelligence based healthcare applications are playing the key role to revolutionize the healthcare domain with more focus on the automatic and adaptive care provisioning

• The medical data obtained from these systems is vital and its secure transmission for remote healthcare in also mandatory

• there is a need for intelligent sensor-based devices to manage the overall process and mechanism of the personal medical healthcare