Security data storage and computing method based on Internet of Things fog computing-edge computing

Abstract

The invention belongs to the technical field of data storage and computing, and discloses a security data storage and computing method based on Internet of Things fog computing-edge computing. Localized Epsilon differential privacy is achieved through the data collection module, data encryption is achieved at fog nodes, and the safety of local area data is protected; the data storage module is used for storing encrypted data and protecting the privacy of the data on the fog server; the data access module is used for realizing data security decryption and protecting data information security sharing; the distribution module uploads own distribution task to the scheduler, so that the privacy of the computing terminal can be effectively protected; meanwhile, the computing tasks are decomposedthrough the task processing module, and parallel computing is conducted on the multiple decomposed computing subtasks. According to the invention, while the processing speed of the computing task isimproved, the data security and data privacy of the whole system are ensured.

Description

technical field [0001] The invention belongs to the technical field of data storage and computing, and in particular relates to a secure data storage and computing method based on fog computing-edge computing of the Internet of Things. Background technique [0002] The Internet of Things is an important part of the new generation of information technology. It uses radio frequency identification (RFID), infrared sensors, global positioning systems, laser scanners and other information sensing devices to connect any item to the Internet according to the agreed protocol. , A network for information exchange and communication to realize intelligent identification, positioning, tracking, monitoring and management of items. [0003] At present, the Internet of Things industry has achieved remarkable results in core technology research and development and industrialization, key standard research and formulation, industrial chain establishment and improvement, major application demo...

AI Technical Summary

Problems solved by technology

[0015] The existing edge computing task assignment process cannot protect privacy and the randomness of computing task arrival; cannot guarantee data security during data transmission

At the same time, computing tasks usually have a large amount of data; it will take a lot of time to sequentially calculate each sub-computing task

Therefore, in the existing way, the processing speed of computing tasks is relatively slow

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