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The Medical Internet of Things (IoT) is creating revolution in healthcare industry by providing on-demand medical assistance.Wearable IoT devices continuously generate health data, which is transmitted to integrated fogcloud infrastructure for real-time monitoring and personalized medical support.While the migration of computation towards fog environment offers significant advantages, such as reduced response time and lower communication costs, it also introduces critical challenges related to security, privacy, and data integrity.As a solution to this problem, this work proposes a block chain framework in fog-cloud infrastructure (BF-FCI) for secure data/computation management.The framework facilitates security for both data and computation at fog nodes.Data security is ensured with multi criteria optimized anonymization technique based on multiple factors of privacy, utility and application QoS.The computation security is ensured with trust-based offloading.The proposed framework is extensible for any application utility services.Through experimental analysis, the proposed technique is found to have 7.6% lower data upload time, 19% lower data retrieval time, 8% lower ether cost,15% lower computation cost at IoT devices and 20% energy consumption reduction at IoT devices compared to existing works.In addition, even under tight privacy budget of 0.7, the proposed solution achieves more than 80% data utility preservation.
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Sahu et al. (2026) studied this question.
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