## 4 Findings
### Healthcare
Furthermore, Proof-of-Epidemiology-of-Interest (PoEoI) is a new consensus algorithm proposed to select miners and generate blocks based on an addition number game. The proposed system consists of five components: the fictitious play, a learning paradigm, a coalition group, a consortium blockchain, garlic routing that hides the identities of communication entities, and edge nodes to connect smart devices. The simulation results demonstrate that the proposed system is robust against attacks and efficient. To achieve distributed consistency in a peer-to-peer (P2P) environment, an architecture called BloMT [108] is proposed, which consists of consortium blockchain built on top of Hyperledger Fabric to provide provenance, transparency, integrity, and security for serverless P2P. Distinct operational controls are implemented using different protocol types to reduce resource consumption costs. Moreover, a new lightweight consensus algorithm is proposed based on PoW; the proposed algorithm utilizes the predefined policies of Hyperledger Fabric to reduce the transmission bandwidth and the required computation power. The proposed system architecture contains a serverless network to manage network resources required to complete a process. The BloMT node is responsible for managing the records until submitting them to the filecoin, representing immutable storage belonging to a third party. On-chain and off-chain designs are provided for the communication protocols. The Hyperledger Fabric expert handles real-time medical transactions. Two storage designs are included to eliminate any capacity issues, primary and secondary. The experimental results demonstrate that BloMT reduced the resource constraints. Hiding sensitive data from malicious parties requires advanced methods which can be utilized from Information Hiding Techniques (IHT). When combining IHT with smart contracts and blockchain technology to create a framework for the medical supply chain,security and privacy aspects are enhanced [109]. This study proposes a different method of encrypting the information into other auxiliary messages using improved steganography techniques. Multiple pre-authenticated healthcare providers are merged into a private cluster in the blockchain network, and only entities inside the network are allowed to communicate and participate in the processes. Using smart contracts, one-time secret keys are securely created and distributed among related parties. The proposed framework comprises cluster pre-selection, hash key registration, and smart contract phases. The proposed system architecture is divided into cloud, fog, edge, and healthcare IoT device layers. This approach ensures lower execution time with higher security than other classical approaches. A model that combines Self-Sovereign Identity (SSI), Verifiable Credential (VC), Decentralized ID (DID), Attribute-Based Access Control (ABAC), Role-Based Access Control (RBAC), and blockchain technology called Decentralized Self-Management of data Access Control (DSMAC) [110] is proposed to allow patients to control their medical data. For emergency cases, advanced access control techniques are implemented using verifiable credentials and decentralized identifiers. In addition, role-based access control policies are conducted by leveraging smart contracts. A DID document is used to create an attribute-based access control mechanism. The proposed framework comprises three layers: the user layer, the F2C layer, and the IoMT devices layer. Based on performance evaluation, the proposed framework is efficient and scalable regarding cryptographic computations, latency, throughput, and execution time.