November 2022

Research work by Dr. Ashok Kumar Das, his graduated PhD student Dr. Mohammad Wazid and his research collaborators Prof. Sachin Shetty, Prof. Joel J P C Rodrigues and Prof. Mohsen Guizani published their research work on AISCM-FH: AI-Enabled Secure Communication Mechanism in Fog Computing-Based Healthcare in a highly recognized security venue, IEEE Transactions on Information Forensics and Security. This work has a SCI Impact Factor: 7.231. 

Research work as explained by the authors: 

Fog computing-based Internet of Things (IoT) is very important in various types of delay efficient network communications and services, like digital healthcare. However, the privacy and security issues with the fog computing-based healthcare systems increase the risk of leakage of sensitive healthcare data. A security mechanism, like access control for fog computing-based healthcare systems, is essential to protect its data against various potential attacks. The blockchain technology can be also used to solve the digital healthcare’s data integrity related problems. In addition, the use of Artificial Intelligence (AI) makes the system more effective in the case of prediction of health-related diseases. 

This work addresses a novel AI-enabled secure communication mechanism in fog computing-based healthcare system (in short, AISCM-FH). The security analysis of the proposed AISCM-FH is provided using the standard random oracle model and also with the heuristic (non-mathematical) security analysis. A pragmatic study determines the impact of the proposed AISCM-FH on key performance indicators. Moreover, a detailed performance comparison of AISCM-FH with other relevant existing schemes shows that it has low communication and computation costs and provides superior security and extra functionality attributes as compared to those for other competing existing approaches.

Detailed description of this work: https://ieeexplore.ieee.org/document/9943289