Journal of Healthcare Engineering

Securing the Internet of Health Things (IoHT) with Lightweight Security Schemes

Publishing date
01 Dec 2022
Submission deadline
22 Jul 2022

1Hamdard University, Islamabad, Pakistan

2Sejong University, Seoul, Republic of Korea

3International Islamic University, Islamabad, Pakistan

This issue is now closed for submissions.

Securing the Internet of Health Things (IoHT) with Lightweight Security Schemes

This issue is now closed for submissions.


The Internet of Health Things (IoHT) is a subset of the Internet of Things (IoT) that facilitates remote data exchange for physical processes such as patient monitoring, treatment progress, observation, and consultation. The ease of time-independent contact from geographically distant places is a fundamental feature of the IoHT system, which offers preventative or proactive healthcare services at a cheaper cost. Various low-power biomedical sensors with limited processing capabilities offer communication, integration, computation, and interoperability in IoHT systems.

A large scale of interactions between biomedical sensors and mobile devices are undertaken on open wireless channels in an IoHT environment, and this poses a range of challenges, the most significant of which is the security and privacy of health-related information of patients. To steal or fabricate patient health-related information, an intruder may capture communications between sensors and mobile devices. Likewise, with high probability, the attacker may gain access to the disease or health status of the patient. In addition, most devices involved in IoHT platforms have limited computing capabilities and, consequently, fail to perform conventional cryptographic calculations. Furthermore, doing computing-intensive operations will result in a slow response time, which will affect the performance of the IoHT system. Therefore, there is a critical need for lightweight cryptographic schemes that are both efficient and secure and can satisfy the needs of resource-constrained IoHT devices.

The aim of this Special Issue is to bring together original research and review articles discussing security concerns in IoHT. Papers presenting lightweight security solutions for resource-constrained IoHT devices are highly encouraged.

Potential topics include but are not limited to the following:

  • Lightweight security solutions in the IoHT
  • Machine learning-based security solutions for the IoHT
  • Privacy-preserving schemes in IoHT environments
  • Blockchain-based security protocols for IoHT systems
  • Novel frameworks and algorithms based on existing and upcoming technologies to enhance the scalability and security of the IoHT
  • Authentication and access control in IoHT systems
  • Federated learning-based solutions for IoHT systems
  • Threats and attack models and security risk analysis in IoHT environments
Journal of Healthcare Engineering
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