Management optimization system based on Internet of Things

Abstract

The invention discloses a management optimization system based on Internet of Things, which comprises a design management module, an analysis control module and a storage feedback module, and is characterized in that the design management module is in network connection with the analysis control module, and the analysis control module is in network connection with the storage feedback module; the design management module is used for carrying out design control management on an Internet of Things model, the analysis control module is used for carrying out security optimization management analysis on the Internet of Things, and the storage feedback module is used for carrying out storage feedback processing on Internet of Things data information. The design management module comprises a model design module, a registration management module and an aggregation processing module, the model design module is in network connection with the registration management module, the registration management module is in network connection with the aggregation processing module, and the model design module is used for performing model design management of the Internet of Things. The system has the characteristics of high safety and intelligent analysis and processing.

Description

Technical Field

[0001] The present invention relates to the technical field of the Internet of Things, and specifically to a management optimization system based on the Internet of Things. Background Art

[0002] The Internet of Things is a huge network formed by the combination of computing devices, machinery, and digital machines on the Internet using a Universal Unique Identifier (UID), with the ability to transmit data through the network. It involves not only the interaction between people and people, people and devices, but more importantly, the interaction between devices. The terminals of the Internet of Things extend to any object-to-object connection, integrating the digital information of things. The application fields of the Internet of Things mainly include the following aspects: transportation and logistics, industrial manufacturing, healthcare, smart environments (homes, offices, factories), smart grids, personal and social fields, etc. However, as the correlation between data and user privacy becomes closer, there is a risk of privacy leakage during the process of aggregating all original data, and there are also serious defects in the privacy protection and lack of security support of the Internet of Things server. Therefore, it is necessary to design a management optimization system based on the Internet of Things with high security and intelligent analysis and processing. Summary of the Invention

[0003] The purpose of the present invention is to provide a management optimization system based on the Internet of Things to solve the problems raised in the above background art.

[0004] To solve the above technical problems, the present invention provides the following technical solution: A management optimization system based on the Internet of Things, including: a design management module, an analysis control module, and a storage feedback module. The design management module is network-connected to the analysis control module, and the analysis control module is network-connected to the storage feedback module. The design management module is used for the design control management of the Internet of Things model, the analysis control module is used for the security optimization management analysis of the Internet of Things, and the storage feedback module is used for the storage feedback processing of the Internet of Things data information.

[0005] According to the above technical solution, the design management module includes a model design module, a registration management module, and an aggregation processing module. The model design module is network-connected to the registration management module, and the registration management module is network-connected to the aggregation processing module. The model design module is used for the model design management of the Internet of Things, the registration management module is used for the registration management of the Internet of Things, and the aggregation processing module is used for the aggregation control of the Internet of Things.

[0006] According to the above technical solution, the analysis and control module includes an initialization module, a data collection module, and a proof analysis module. The initialization module is network-connected to the data collection module, and the data collection module is network-connected to the proof analysis module. The initialization module is used for initializing the management of the Internet of Things. The data collection module is used for collecting and controlling the data of the Internet of Things. The proof analysis module is used for analyzing and proving the security of the Internet of Things.

[0007] According to the above technical solution, the storage and feedback module includes a distributed storage module and a feedback transmission module. The distributed storage module is network-connected to the feedback transmission module. The distributed storage module is used for distributed storage of the data of the Internet of Things. The feedback transmission module is used for feedback transmission of data information.

[0008] According to the above technical solution, the operation method of a management optimization system based on the Internet of Things includes the following steps:

[0009] Step S1: In the Internet of Things system, perform design and construction processing on the Internet of Things communication model;

[0010] Step S2: After completing the design and construction of the Internet of Things communication model, perform registration and aggregation control management on the Internet of Things;

[0011] Step S3: Further perform security optimization analysis and management on the Internet of Things system;

[0012] Step S4: Perform storage and feedback transmission control on the data information of the Internet of Things system.

[0013] According to the above technical solution, Step S1 further includes the following steps:

[0014] Perform design and construction processing on the Internet of Things communication model for the Internet of Things system. The model includes an operation center, a cloud server, and intelligent devices. Among them, according to the set requirements of the corresponding aggregation, the operation center selects from the ciphertext data stored in the operation center, transmits the set of data to be aggregated to the cloud server and initiates the aggregation process. After the cloud server completes the aggregation operation process, the result of data aggregation is obtained, and the cloud server feeds back the result to the operation center. In this step, the intelligent devices collect various types of data of the Internet of Things system and upload the processed data to the cloud server for storage. The user can have multiple intelligent devices to help the user collect various types of Internet of Things data.

[0015] According to the above technical solution, Step S2 further includes the following steps:

[0016] Step S21: During the registration process of the user for the Internet of Things system, the operation center initializes a secret data sk sum= 0, the operation center selects a secret information S for the aggregation center AC , and sends it to the aggregation center. When a new user U New needs to register in the IoT aggregation area, the new user selects its own secret sk New , and sends its own identity ID New and the secret sk New to the operation center. The operation center calculates the secret information S New , and updates the existing secret data sk sum = sk sum + S New , and at the same time feeds back the calculated secret information S New to the new user for storage, thus completing the security optimization process for new user registration, where the calculation formula of sk New is as follows:

[0017]

[0018] In the formula, H1 is a secure hash function, and P is an IoT security parameter;

[0019] Step S22: The operation center determines an aggregation interval MA according to its own needs and sends it to the cloud server. The cloud server picks the corresponding ciphertext that meets the set requirements from its database according to the aggregation interval, then performs aggregation of the ciphertext, and the cloud server sends the data to the user side using the user's channel.

[0020] According to the above technical solution, the step S3 further includes the following steps:

[0021] Step S31: Before the IoT communication model design and construction are completed and before the IoT runs, initialize the IoT system. The user selects its own public-private key pair under the system generation parameters selected by the cloud server. The user selects a private key and calculates a public key, and the user saves the private key and then publishes the public key;

[0022] Step S32: After the intelligent device collects data, it needs to encrypt and sign the data and then upload it to the cloud server for storage. Specifically, the intelligent device selects a random number that meets the set requirements, then analyzes the set encryption ciphertext. The intelligent device signs the ciphertext and generates signature data. The intelligent device calculates the message authentication code, and finally uploads the data to the cloud server. When the cloud server receives the uploaded data, it needs to go through the following authentication: verify whether the time meets the set range, verify whether the received data is complete. If all verifications pass, the cloud server performs corresponding data collection;

[0023] Step S33: When the user uploads data, the user will encrypt their own data. Since the ciphertext is transmitted over a public channel and can be obtained by both the operation center and the aggregation center, if the transmitted data is attacked, the encrypted data will be damaged. Therefore, if the encrypted data is damaged when receiving the data, it proves that the data has been invaded and tampered with, and the integrity verification fails.

[0024] According to the above technical solution, the step S4 further includes the following steps:

[0025] Step S41: Perform blockchain distributed storage on the operation data information of the Internet of Things system to effectively ensure the security of the data information;

[0026] Step S42: After receiving the result that the data information has been tampered with, immediately give a warning feedback notice to the staff of the Internet of Things system.

[0027] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: In the present invention, by setting up a design management module, an analysis control module, and a storage feedback module, the data collection and processing of the Internet of Things system are made more efficient and accurate, effectively improving the security and stability of the data collection of the system; and through data aggregation processing, the data uploaded by the users of the Internet of Things system can be processed on the ciphertext, which can not only maintain a certain data availability but also ensure that the data of any user can be protected. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation to the present invention. In the drawings:

[0029] Figure 1 is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0031] Please refer to Figure 1, the present invention provides a technical solution: a management optimization system based on the Internet of Things, including: a design management module, an analysis and control module, and a storage and feedback module. The design management module is network-connected to the analysis and control module, and the analysis and control module is network-connected to the storage and feedback module. The design management module is used to perform design control management of the Internet of Things model, the analysis and control module is used to perform security optimization management analysis of the Internet of Things, and the storage and feedback module is used to perform storage feedback processing of Internet of Things data information.

[0032] The design management module includes a model design module, a registration management module, and an aggregation processing module. The model design module is network-connected to the registration management module, and the registration management module is network-connected to the aggregation processing module. The model design module is used to perform model design management of the Internet of Things, the registration management module is used to perform registration management of the Internet of Things, and the aggregation processing module is used to perform aggregation control of the Internet of Things.

[0033] The analysis and control module includes an initialization module, a data collection module, and a proof analysis module. The initialization module is network-connected to the data collection module, and the data collection module is network-connected to the proof analysis module. The initialization module is used to perform initialization management of the Internet of Things, the data collection module is used to perform collection control of Internet of Things data, and the proof analysis module is used to perform security proof analysis of the Internet of Things.

[0034] The storage and feedback module includes a distributed storage module and a feedback transmission module. The distributed storage module is network-connected to the feedback transmission module. The distributed storage module is used to perform distributed storage of Internet of Things data, and the feedback transmission module is used to perform feedback transmission of data information.

[0035] An operation method of a management optimization system based on the Internet of Things includes the following steps:

[0036] Step S1: In the Internet of Things system, perform design and construction processing of the Internet of Things communication model;

[0037] After completing the design and construction of the Internet of Things communication model in Step S2, perform registration and aggregation control management of the Internet of Things;

[0038] Step S3: Further perform security optimization analysis management of the Internet of Things system;

[0039] Step S4: Perform storage and feedback transmission control on the data information of the Internet of Things system.

[0040] Step S1 further includes the following steps:

[0041] Design and construct an Internet of Things (IoT) communication model for the IoT system. The model includes an operation center, a cloud server, and intelligent devices. Among them, according to the corresponding aggregated setting requirements, the operation center selects from the ciphertext data stored in the operation center, transmits the set of data to be aggregated to the cloud server, and initiates the aggregation process. After the cloud server completes the aggregation operation process, the result of data aggregation is obtained, and the cloud server feeds back the result to the operation center. In this step, the intelligent devices collect various types of data of the IoT system, and upload the processed data to the cloud server for storage. Users can have multiple intelligent devices to help users collect various IoT data.

[0042] Step S2 further includes the following steps:

[0043] Step S21: During the registration process of the user for the IoT system, the operation center initializes a secret data sksum = 0. The operation center selects a secret information SAC for the aggregation center and sends it to the aggregation center. When a new user UNew needs to register in the IoT aggregation area, the new user selects their own secret skNew, and sends their identity IDNew and secret skNew to the operation center. The operation center calculates the secret information SNew and updates the existing secret data sksum = sk sum +S New , and at the same time feeds back the calculated secret information SNew to the new user for storage, thus completing the security optimization process of new user registration. The calculation formula of skNew is as follows:

[0044]

[0045] In the formula, H1 is a secure hash function, and P is an IoT security parameter;

[0046] Step S22: The operation center determines an aggregation interval MA according to its own needs and sends it to the cloud server. The cloud server picks the corresponding ciphertext that meets the set requirements from its database according to the aggregation interval, and then performs the aggregation of the ciphertext. Moreover, the cloud server sends the data to the user side through the user's channel.

[0047] Step S3 further includes the following steps:

[0048] Step S31: Before the design and construction of the IoT communication model is completed and the IoT runs, initialize the IoT system. Under the system generation parameters selected by the user on the cloud server, the user selects their own public and private key pair. The user selects a private key and calculates a public key, and the user saves the private key and then publishes the public key;

[0049] Step S32: After collecting data, the smart device needs to encrypt and sign the data and then upload it to the cloud server for storage. Specifically, the smart device selects a random number that meets the set requirements, then analyzes the set encrypted ciphertext. The smart device signs the ciphertext and generates signature data. The smart device calculates the message authentication code, and finally uploads the data to the cloud server. When the cloud server receives the uploaded data, it needs to go through the following authentication: verify whether the time meets the set range, and verify whether the received data is complete. If all verifications pass, the cloud server performs corresponding data collection. Through this step, the data collection and processing of the Internet of Things system are made more efficient and accurate, effectively improving the security and stability of the system's data collection.

[0050] Step S33: When the user uploads data, the user will encrypt their own data. Since the ciphertext is transmitted on a public channel and both the operation center and the aggregation center can obtain it, if the transmitted data is attacked, the encrypted data will be damaged. Therefore, if the encrypted data is damaged when receiving the data, it proves that the data has been invaded and tampered with, and the integrity verification fails.

[0051] Step S4 further includes the following steps:

[0052] Step S41: Store the operation data information of the Internet of Things system in a blockchain distributed manner, effectively ensuring the security of the data information.

[0053] Step S42: After receiving the result that the data information has been tampered with, immediately give a warning feedback notice to the staff of the Internet of Things system.

[0054] It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device.

[0055] Finally, it should be noted that the above are only the preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, for those skilled in the art, they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A management optimization system based on the Internet of Things, comprising: The design management module, the analysis control module and the storage feedback module are characterized in that: the design management module is connected to the analysis control module through a network, the analysis control module is connected to the storage feedback module through a network, the design management module is used to perform design control management of the Internet of Things model, the analysis control module is used to perform security optimization management analysis of the Internet of Things, and the storage feedback module is used to perform storage feedback processing of Internet of Things data information.

2. The management optimization system based on the Internet of Things according to claim 1 is characterized in that: The design management module includes a model design module, a registration management module and an aggregation processing module. The model design module is connected to the registration management module through a network, and the registration management module is connected to the aggregation processing module through a network. The model design module is used to perform model design management of the Internet of Things, the registration management module is used to perform registration management of the Internet of Things, and the aggregation processing module is used to perform aggregation control of the Internet of Things.

3. The management optimization system based on the Internet of Things according to claim 1 is characterized in that: The analysis and control module includes an initialization module, a data collection module and a proof analysis module. The initialization module is connected to the data collection module through a network, and the data collection module is connected to the proof analysis module through a network. The initialization module is used to perform initialization management of the Internet of Things, the data collection module is used to perform collection and control of Internet of Things data, and the proof analysis module is used to perform security proof analysis of the Internet of Things.

4. The management optimization system based on the Internet of Things according to claim 1 is characterized in that: The storage feedback module includes a distributed storage module and a feedback transmission module. The distributed storage module is connected to the feedback transmission module through a network. The distributed storage module is used for distributed storage of IoT data, and the feedback transmission module is used for feedback transmission of data information.

5. The management optimization system based on the Internet of Things according to claim 1 is characterized in that: The operation method of the management optimization system based on the Internet of Things comprises the following steps: Step S1: In the IoT system, design and construct the IoT communication model; Step S2: After completing the design and construction of the IoT communication model, perform registration and aggregation control management of the IoT; Step S3: further perform security optimization analysis and management of the IoT system; Step S4: storing and controlling the feedback transmission of data information of the Internet of Things system.

6. The management optimization system based on the Internet of Things according to claim 5 is characterized in that: The step S1 further comprises the following steps: The IoT communication model is designed and constructed for the IoT system. The model includes an operation center, a cloud server, and smart devices. The operation center selects the ciphertext data stored in the operation center according to the corresponding aggregation setting requirements, transmits the data set to be aggregated to the cloud server, and initiates the aggregation process. After the cloud server completes the aggregation operation process, the result of data aggregation is obtained, and the cloud server feeds the result back to the operation center. In this step, the smart device collects various types of data from the IoT system, and uploads the processed data to the cloud server for storage. Users can have multiple smart devices to help users collect various types of IoT data.

7. The management optimization system based on the Internet of Things according to claim 5 is characterized in that: The step S2 further comprises the following steps: Step S21: During the user registration process of the IoT system, the operation center initializes a secret data sk sum = 0, the operation center selects a secret information S for the aggregation center AC , and send it to the aggregation center. New When registering to the IoT aggregation area, new users select their own secret sk New , and provide your ID New and secret sk New Sent to the operation center, the operation center calculates the secret information S New , and update the existing secret data sk sum =sk sum +S New , and the calculated secret information S New Feedback to the new user for storage, thereby completing the security optimization processing of new user registration, where sk New The calculation formula is as follows: Where H1 is the secure hash function and P is the IoT security parameter; Step S22: The operation center determines an aggregation interval MA according to its own needs and sends it to the cloud server. The cloud server selects the corresponding ciphertext that meets the set requirements from its database according to the aggregation interval, and then aggregates the ciphertext. The cloud server uses the user's channel to send the data to the user end.

8. The management optimization system based on the Internet of Things according to claim 5 is characterized in that: The step S3 further comprises the following steps: Step S31: After the IoT communication model is designed and constructed and before the IoT is operated, the IoT system is initialized. The user selects his or her own public and private key pair under the system generation parameters selected by the cloud server. The user selects a private key and calculates a public key. The user saves the private key and then publishes the public key. Step S32: After collecting the data, the smart device needs to encrypt and sign the data and upload it to the cloud server for storage. Specifically, the smart device selects a random number that meets the set requirements, then analyzes the set encrypted ciphertext, signs the ciphertext, and generates signature data. The smart device calculates the message authentication code and finally uploads the data to the cloud server. When the cloud server receives the uploaded data, it needs to go through the following authentication: whether the verification time is within the set range, and whether the received data is complete. If all the authentications pass, the cloud server collects the corresponding data. Step S33: When users upload data, they will encrypt their own data. Since the ciphertext is transmitted on a public channel, both the operation center and the aggregation center can obtain it. If the transmitted data is attacked, the encrypted data will be destroyed. Therefore, if the encrypted data is destroyed when receiving data, it proves that the data has been invaded and tampered with, and the integrity verification fails.

9. The management optimization system based on the Internet of Things according to claim 5, characterized in that: The step S4 further comprises the following steps: Step S41: Distribute the operation data information of the IoT system in blockchain to effectively ensure the security of the data information; Step S42: After receiving the result that the data information has been tampered with, an early warning feedback notification is immediately sent to the IoT system staff.

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