Abstract: Embodiments of the present invention disclose a method, a computer program product, and a computer system for a drone-based network vulnerability detection system. According to embodiments of the present invention, a drone receives routes and protocols for detecting and resolving network vulnerabilities. The drone identifies one or more electronic devices connected to one or more networks within an area of interest and detects one or more network vulnerabilities of the one or more electronic devices. If the drone detects a vulnerability, the drone updates a command center and identifies a resolution to the one or more network vulnerabilities. The drone then resolves the one or more network vulnerabilities based on the identified resolution.

Abstract: An example operation may include one or more of receiving medical data of a user, creating metadata of the medical data which includes a unique identifier of the user and a searchable description of the medical data which describes one or more attributes included in the medical data but does not expose the medical data, encrypting the medical data to generate encrypted medical data, generating a data block having stored therein the created metadata of the medical data and the encrypted medical data, and storing the generated data block within a distributed ledger such that the generated data block is hash-linked to a previous data block on the distributed ledger.

Abstract: Embodiments of the present invention disclose a method, a computer program product, and a computer system for a drone-based network vulnerability detection system. According to embodiments of the present invention, a drone receives routes and protocols for detecting and resolving network vulnerabilities. The drone identifies one or more electronic devices connected to one or more networks within an area of interest and detects one or more network vulnerabilities of the one or more electronic devices. If the drone detects a vulnerability, the drone updates a command center and identifies a resolution to the one or more network vulnerabilities. The drone then resolves the one or more network vulnerabilities based on the identified resolution.

Abstract: An example operation may include one or more of receiving medical data of a user, creating metadata of the medical data which includes a unique identifier of the user and a searchable description of the medical data which describes one or more attributes included in the medical data but does not expose the medical data, encrypting the medical data to generate encrypted medical data, generating a data block having stored therein the created metadata of the medical data and the encrypted medical data, and storing the generated data block within a distributed ledger such that the generated data block is hash-linked to a previous data block on the distributed ledger.