A Secure Data Dissemination Scheme for IoT-Based e-Health Systems using AI and Blockchain

【Author】 Kumar, Prabhat; Kumar, Randhir; Garg, Sahil; Kaur, Kuljeet; Zhang, Yin; Guizani, Mohsen

【Source】2022 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2022)

【影响因子】

【Abstract】In Internet of Things (IoT)-based e-Health Systems (IoTEHS), medical devices form a large network that continuously sense and share the healthcare data with the nearby edge devices or cloud servers. The health data is subsequently made available to various IoTEHS stakeholders (such as doctors, nurses and patients) to track and monitor patients under observation. However, the entire IoTEHS stakeholders communicate with each other over a wireless unsecured public communication channel. This is a major security and privacy loophole wherein the attacker can exploit the vulnerability of the system and can launch various attacks on the ongoing communication. Motivated by the aforementioned challenges, a secure data dissemination scheme using AI and blockchain is proposed. In this scheme, the transaction collected through healthcare sensors installed around the patients premises act as data sets that is forwarded to the nearby edge devices. The collected data is first filtered using AI-based intrusion detection system located at the edge of the network. Second, a secure health monitoring network is designed using blockchain. Specifically, the filtered or normal transactions are transmitted to centralized cloud servers where the smart contact-enabled consensus mechanism is used to validate the transactions. Once the transaction gets validated, it is stored on distributed InterPlanetary File System (IPFS) of cloud and returned transaction hash is stored on the blockchain ledger located at edge devices making data exchange faster. The detailed experimental investigation demonstrates that the proposed schemes are efficient (in terms of computing and processing time) as well as its resistance to a variety of security attacks.

【Keywords】Artificial Intelligence (AI); Blockchain; e-Health; Internet of Things (IoT); Intrusion Detection System (IDS); InterPlanetary File System (IPFS).

【发表时间】2022

【收录时间】2023-05-05

【文献类型】理论模型

【主题类别】

区块链应用-实体经济-医疗领域