Information operation and maintenance service knowledge sharing method based on trusted computing of big data

The invention provides an information operation and maintenance service knowledge sharing method based on trusted computation of big data. According to the method, a trusted degree assessment mechanism and a trusted relationship transfer mechanism are built on the basis of characteristics such as protective function, authentication, integrity measurement and the like; the method comprises steps as follows: secure storage of information operation and maintenance knowledge, secure access of information operation and maintenance knowledge as well as trusted evaluation, wherein the secure storage of the information operation and maintenance knowledge comprises following steps: (1), performing security verification on an identity of a stored user; (2), preprocessing information operation and maintenance service knowledge data; (3), performing encoding; (4), performing abstract concentration on hardware storage resources, mapping the resources to an integrated and unified resource pool, and virtualizing a user operating system; (5), storing the information operation and maintenance service knowledge data into the resource pool in a final code form; the secure access of the information operation and maintenance knowledge comprises following steps: (1), performing security verification on an identity of an access user; (2), reading the information operation and maintenance service knowledge data stored on the resource pool. With the adoption of the method, barrier-free sharing can be realized, memory footprint is reduced, the data calling speed is increased, and the security of information operation and maintenance service knowledge sharing is improved on the premise that the convenience is guaranteed.