FoG-Oriented Secure and Lightweight Data Aggregation in IoMT

Abstract

Internet of Medical Things (IoMT) is becoming an essential part of remote health monitoring due to the evolution of medical wireless sensors and intelligent communication technologies. IoT-based healthcare applications are employed in the medical centers to provide continuous health monitoring of a patient. However, recent smart medical devices have limited resources to handle the huge amount of healthcare data. IoMT faces several challenging issues, like security, privacy, anonymity, and interoperability. In data aggregation and communication, the privacy and security of medical information is a demanding task. Therefore, we proposed a suitable scheme to overcome the limitations of existing research studies. This paper presents an Efficient and Secure Data Transmission and Aggregation (ESDTA) scheme to enhance aggregation efficiency and data security. Our proposed work provides secure data aggregation and data forwarding of healthcare parameter values by employing the Secure Message Aggregation (SMA) algorithm and Secure Message Decryption (SMD) algorithm at the Mobile Node (MN) and Fog Node FN, respectively. From a security perspective, the proposed scheme preserves the data integrity and also protect against several security threats like data fabrication and replay attack. The proposed scenario is simulated through simulation tool NS 2.35. The simulation results prove that aggregation at the MN effectively reduces transmission and communication costs. Furthermore, the effective computation at the fog node minimizes the storage and computational cost at the cloud server. Thus, the analysis of the proposed scheme shows the supremacy of our proposed work. We compare our scheme with other related secure data aggregation-based schemes in terms of communication cost, energy consumption, resilience, storage and computational cost.

Paillier Cryptography Based Message Authentication Code for IoMT Security

“…They also discussed about the security challenges and open issues for future research directions. Azeem et al [38] proposed efficient fog-oriented data aggregation scheme for IoMT. This model used secure aggregation and secure decryption of message to ensure the security and integrity.…”

Discrete GWO Optimized Data Aggregation for Reducing Transmission Rate in IoT

“…They developed the data aggregation scheme for smart transport system Azeem et al [13] secure message aggregation (SMA) and secure message decryption (SMD) efficient fog-oriented data aggregation scheme for IoMT. This model used secure message aggregation (SMA) and secure message decryption (SMD) to ensure the security and integrity.…”

Using Low-Resolution Non-Invasive Infrared Sensors to Classify Activities and Falls in Older Adults

“…Using sensors to detect, react to, and mitigate falls is relevant to improving the quality of life of older adults [ 11 , 12 , 13 , 14 , 15 ]. In this study, we take a novel approach to classify and detect falls of older adults in their homes through low-resolution infrared sensors that are affordable, non-intrusive, do not disturb privacy, and are more acceptable to older adults.…”

“…Azeem et al [ 14 ] proposed a solution in managing privacy and security in the aggregation of patient data and sensor-generated data in remote, efficient, and real-time patient monitoring and healthcare technology-based environments. The authors presented a novel efficient and secure data transmission and aggregation (ESDTA) scheme that improves the delivery of healthcare parameters by using the secure message aggregation (SMA) algorithm in combination with a secure message decryption (SMD) algorithm.…”