Research On Privacy Classification And Encryption Strategy In Internet Of Things Applications

The combination of IoT and healthcare further accelerate innovative healthcare development as healthcare IoT applications continue to evolve.This optimizes healthcare practice outcomes,innovates healthcare service models and business markets,and provides a high-quality personal healthcare service experience.However,the data stored in existing innovative healthcare systems often involves sensitive data such as personal privacy,which often leads to the risk of leakage and misuse during collection,transmission and use.Besides,the low utilization rate of the massive medical data in the wisdom medical system,which does not tap the actual value of the wisdom system data,is also often subject to theft and tampering by attackers,which seriously threatens the privacy and security of the public.Simultaneously,the Internet of Things technology in the era of big data,the interconnection of things to things,people to things and people to people also leads to data cannot be transmitted safely.Therefore,obtaining data,transmitting data,sharing data,and analyzing data in an orderly,efficient and secure way is an urgent problem in the IoT environment.The thesis addresses the above issues and investigates the privacy hierarchy and encryption strategy under the innovative medical IoT application,with the following two main areas of research:(1)The thesis proposes a privacy hierarchical encryption scheme based on intelligent medical IoT.Firstly,a field-based data hierarchy method is proposed in order to be able to prioritize the protection of essential privacy data from a large amount of data.The method classifies different fields in a data packet into different levels according to their privacy importance to improve privacy protection for sensitive data.Second,to improve the efficiency of encryption and reduce the harm caused by data leakage,the scheme proposes an adaptive hierarchical encryption scheme.The scheme selects the fields of data packets corresponding to the privacy level for encryption according to the application scenario’s privacy requirements.It achieves the privacy protection level requirements with minimal overhead.In order to control the flow of data in the innovative medical system,a data flow control idea is proposed to restrict the transmission of data flow from the access control level to ensure the orderliness of information transmission between devices,thus ensuring privacy and security of data.After performance analysis and simulation results show that the scheme can maximize the privacy reach,improve the encryption efficiency,and effectively reduce the harm caused by data leakage within limited resources and limited time to ensure data transmission security and orderliness.(2)The thesis designs and implements a hierarchical encryption system under the medical Internet of Things(IoT),which solves existing IoT systems’ problems such as high cost and low efficiency and insufficient security.In addition to a medical appointment,consultation,and office functions,the system can also do graded encryption processing of data and adaptively protect the private data.The system embodies the ideas of data grading and grading encryption.It guarantees data privacy and security from various aspects such as data extraction,data encryption,data transmission,and data storage.Furthermore,for the transmission of data flow between devices,the process and conditions of data transmission by devices of different device levels are elaborated from the access control level through network topology to guarantee the orderliness of data transmission.