AISCM-FH: AI-Enabled Secure Communication Mechanism in Fog Computing-Based Healthcare

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IEEE Transactions on Information Forensics and Security


Fog computing-based Internet of Things (IoT) architecture is useful for various types of delay efficient network communications and services, like digital healthcare. However, there are privacy and security issues with the fog computing-based healthcare system, which can further increase the risk of leakage of sensitive healthcare data. Therefore, a security mechanism, such as access control for fog computing-based healthcare system, is needed to protect its data against various potential attacks. Moreover, the blockchain technology can be used to solve the digital healthcare’s data integrity related problems. The use of Artificial Intelligence (AI) further makes the system more effective in case of prediction of health related diseases. In this paper, an AI-enabled secure communication mechanism in fog computing-based healthcare system (in short, AISCM-FH) has been proposed. 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, we include a detailed performance comparison of AISCM-FH with other relevant existing schemes to show 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.

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access control and key management, Computational modeling, fog computing, Internet of Things, Internet of Things (IoT), Logic gates, Medical services, Peer-to-peer computing, Security, security, Servers, simulation, Smart healthcare


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