CN116450786A - Text generation type AI (advanced technology attachment) supervision method and system based on blockchain technology - Google Patents

Text generation type AI (advanced technology attachment) supervision method and system based on blockchain technology Download PDF

Info

Publication number
CN116450786A
CN116450786A CN202310222614.3A CN202310222614A CN116450786A CN 116450786 A CN116450786 A CN 116450786A CN 202310222614 A CN202310222614 A CN 202310222614A CN 116450786 A CN116450786 A CN 116450786A
Authority
CN
China
Prior art keywords
information
user
supervision
text
model
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202310222614.3A
Other languages
Chinese (zh)
Inventor
于智
沈宇帆
陈晓丰
蔡亮
李善平
卜佳俊
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhejiang University ZJU
Original Assignee
Zhejiang University ZJU
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhejiang University ZJU filed Critical Zhejiang University ZJU
Priority to CN202310222614.3A priority Critical patent/CN116450786A/en
Publication of CN116450786A publication Critical patent/CN116450786A/en
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G06F16/332—Query formulation
    • G06F16/3329—Natural language query formulation or dialogue systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/23—Updating
    • G06F16/2365—Ensuring data consistency and integrity
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/27—Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/35—Clustering; Classification
    • G06F16/353—Clustering; Classification into predefined classes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • G06F21/10—Protecting distributed programs or content, e.g. vending or licensing of copyrighted material ; Digital rights management [DRM]
    • G06F21/12—Protecting executable software

Abstract

The invention provides a text generation type AI (advanced technology attachment) supervision method based on a blockchain technology, which comprises the following steps: s110: constructing a supervision block chain network; s120: deploying a supervisory intelligence contract on the supervisory blockchain network; s130: determining whether to authorize the user to use an AI model based on the supervisory intelligence contract; s140: generating text information corresponding to the AI model in response to the use of the AI model by the authorized user; s150: storing the text information and user information into the supervision block chain network; s160: and inquiring and analyzing the information stored on the supervision block chain network. By constructing a blockchain network, a supervision special intelligent contract is designed and deployed, user information, input data and AI output data are stored on the blockchain, and supervision departments are allowed to inquire and trace back, so that the problem that the content generated by the text generation type AI cannot be efficiently supervised in the prior art is solved, and the transparency and traceability of the generated type AI are improved.

Description

Text generation type AI (advanced technology attachment) supervision method and system based on blockchain technology
Technical Field
The invention relates to the technical field of artificial intelligence, in particular to a text generation type AI (advanced technology attachment) supervision method and system based on a blockchain technology.
Background
In the wide application of text-generated AI with ChatGPT and the like, text information on the internet will be increasingly generated by artificial intelligence models rather than humans. However, despite the extensive effort done by developers of artificial intelligence models to avoid harmful, unhealthy information generation, there are still users attempting to generate harmful content by entering different templates to guide the artificial intelligence model. This large volume of harmful content, which is rapidly generated by AI, poses new challenges to the supervision of the internet.
Compared with the traditional manual writing text, the harmful text content generated by the AI has the characteristics of rapidness, mass, darkness and the like, the traditional internet supervision mode has high cost and low efficiency, the situation is difficult to deal with, an information publisher and a specific artificial intelligent model cannot be traced, and social risks are easily caused.
The above problems are currently in need of solution.
Disclosure of Invention
The invention aims to provide a text generation type AI (advanced technology interface) supervision method and system based on a blockchain technology, which are used for improving the problem that the prior art cannot efficiently supervise and trace text generation type AI generated contents, so as to help strengthen supervision on the Internet.
The technical scheme adopted for solving the technical problems is as follows: in one aspect, the present invention provides a text generation AI supervision method based on a blockchain technique, the method comprising: s110: constructing a supervision block chain network; s120: deploying a supervisory intelligence contract on the supervisory blockchain network; s130: determining whether to authorize the user to use an AI model based on the supervisory intelligence contract; s140: generating text information corresponding to the AI model in response to the use of the AI model by the authorized user; s150: storing the text information and user information into the supervision block chain network; s160: and inquiring and analyzing the information stored on the supervision block chain network.
Optionally, the step S110 includes: s1101: building a alliance block chain network corresponding to the supervision scope according to the supervision scope and the related institutions; s1102: different authorities are granted different rights to different authorities.
Optionally, the step S120 includes: s1201: designing uplink information, wherein the uplink information comprises one or a combination of a timestamp, user identity information, input data, generated content and identification information of a generated AI model; s1202: designing an intelligent contract; s1203: deploying the intelligent contract into the supervisory blockchain network.
Optionally, the step S1202 includes: s12021: controlling the use authority of the user and limiting the use of the generated AI by an unauthorized user; s12022: acquiring transaction information and verifying the validity of the transaction information, wherein the transaction information comprises one or a combination of generated text content, generation time and input data information; s12023: when the transaction information is valid, the transaction information is uploaded to the blockchain.
Optionally, the step S130 includes: s1301: receiving an authorization request sent by a user to the supervision block chain network; s1302: judging whether a user signature contained in the authorization request is correct or not based on the supervision intelligent contract; s1303: responding to the supervision intelligent contract to judge that the user signature is correct, and verifying the authorization request as a request sent by a correct user; s1304: responding to an authorization request sent by a correct user, acquiring input data of the user and judging whether the input data of the user is healthy data or not; s1305: responding to the health data input by the user, and judging whether the user state is a normal state or not; s1306: and returning authorization information to the user in response to the state of the user being a normal state.
Optionally, the step S140 includes: s1401: in response to authorizing the user to use the AI model, text information corresponding thereto is generated by the AI model based on the user's input data.
Optionally, the step S150 further includes: s1501: the generated text information, user information, identifier information of the AI model, and input data information are stored in a blockchain network.
Optionally, the step S1501 includes: binding the generated text information, user information, identifier information of the AI model and input data information, and sending the bound data as one data to a supervision block chain network for storage.
Optionally, the step S160 includes: s1601: inquiring information stored on the supervision block chain network; s1602: whether the text information generated based on the query result analysis is health information; s1603: when the generated text information is non-health information, tracing back user information and model information bound with the generated text information; s1604: judging whether the unhealthy information is generated by a user or by an AI model based on the trace back result; s1605: and generating analysis result prompt information based on the judgment result.
In another aspect, the present invention provides a text-generated AI administration system based on blockchain technology, the system comprising: the construction unit is suitable for constructing a supervision block chain network; the deployment unit is suitable for deploying supervision intelligent contracts on the supervision blockchain network; a judging unit adapted to determine whether the user is authorized to use the AI model based on the supervisory intelligence contract; the generation unit is suitable for responding to the use of the AI model by the authorized user and generating text information corresponding to the AI model; the storage unit is suitable for storing the text information and the user information into the supervision block chain network; and the inquiring and analyzing unit is suitable for inquiring and analyzing the information stored on the supervision block chain network.
In yet another aspect, the present invention provides a computer-readable storage medium having one or more instructions stored therein for causing the computer to perform the above-described blockchain technology-based text-generated AI administration method.
In yet another aspect, the present invention provides an electronic device, comprising: a memory and a processor; at least one program instruction is stored in the memory; the processor implements the above-described blockchain technology-based text-generated AI administration method by loading and executing the at least one program instruction.
The beneficial effects of the invention are as follows: the invention provides a text generation type AI (advanced technology attachment) supervision method based on a blockchain technology, which comprises the following steps: s110: constructing a supervision block chain network; s120: deploying a supervisory intelligence contract on the supervisory blockchain network; s130: determining whether to authorize the user to use an AI model based on the supervisory intelligence contract; s140: generating text information corresponding to the AI model in response to the use of the AI model by the authorized user; s150: storing the text information and user information into the supervision block chain network; s160: and inquiring and analyzing the information stored on the supervision block chain network. By constructing a blockchain network, designing and deploying a supervision special intelligent contract, storing user information, input data and AI output data on the blockchain, allowing a supervision department to inquire and trace back, improving the problem that the prior art cannot efficiently supervise contents generated by text generation type AI, improving transparency and traceability of the generated type AI, and helping government supervision departments to better supervise and audit the use of the generated type AI.
Drawings
The invention is further described below with reference to the drawings and examples.
Fig. 1 is a flowchart of a text generation AI supervision method based on a blockchain technique provided by the invention.
Fig. 2 is a schematic diagram of a text generation AI supervision method system based on a blockchain technique.
Fig. 3 is a partial schematic block diagram of an electronic device provided by the present invention.
Detailed Description
Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart depicts operations as a sequential process, many of the operations can be performed in parallel, concurrently, or at the same time. Furthermore, the order of the operations may be rearranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figures. The processes may correspond to methods, functions, procedures, subroutines, and the like.
It will be understood that, although the terms "first," "second," etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of example embodiments. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.
The present invention will now be described in detail with reference to the accompanying drawings. The figure is a simplified schematic diagram illustrating the basic structure of the invention only by way of illustration, and therefore it shows only the constitution related to the invention.
For ease of understanding, the following appearing technical terms are explained:
generating an AI: (generative ai). The generation type AI is a component for learning objects from data by various machine learning (MachineLearning, ML) methods, so as to generate completely new and original content (such as characters, pictures and videos) which is quite similar to training data, but does not simply copy the learning data.
OpenID Connect: is a simple identity protocol and open standard built on the basis of OAuth 2.0 protocol. It makes the client application rely on the authentication performed by the OpenID Connect provider to verify the user identity. OpenID Connect uses OAuth 2.0 for authentication and authorization and then constructs an identity that uniquely identifies the user. The client may also obtain basic profile information about the user from the OpenID Connect provider through interoperability and REST-like means.
OAUTH: (Open Authorization) provides a secure, open and easy standard for authorization of user resources. The difference from the previous authorization mode is that the OAUTH authorization does not enable the third party to touch the account information (such as the user name and the password) of the user, i.e. the third party can apply for obtaining the authorization of the user resource without using the user name and the password of the user, so that the OAUTH is safe.
Example 1
Referring to fig. 1, a flowchart of a text generation AI supervision method based on a blockchain technique according to an embodiment of the present application is shown.
As an example, the method comprises: s110: constructing a supervision block chain network; s120: deploying a supervisory intelligence contract on the supervisory blockchain network; s130: determining whether to authorize the user to use an AI model based on the supervisory intelligence contract; s140: generating text information corresponding to the AI model in response to the use of the AI model by the authorized user; s150: storing the text information and user information into the supervision block chain network; s160: and inquiring and analyzing the information stored on the supervision block chain network.
Optionally, the step S110 includes:
s1101: building a alliance block chain network corresponding to the supervision scope according to the supervision scope and the related institutions; s1102: different authorities are granted different rights to different authorities. Wherein granting different rights to different institutions may include: the authority may be granted read when it is the supervisor at the time of the institution, and read and write when it is the owner of the AI generation model.
Optionally, the step S120 includes:
s1201: designing uplink information, wherein the uplink information comprises one or a combination of a timestamp, user identity information, input data, generated content and identification information of a generated AI model; s1202: designing an intelligent contract; s1203: deploying the intelligent contract into the supervisory blockchain network. Wherein, the step S1202 includes: s12021: controlling the use authority of the user and limiting the use of the generated AI by an unauthorized user; s12022: acquiring transaction information and verifying the validity of the transaction information, wherein the transaction information comprises one or a combination of generated text content, generation time and input data information; s12023: when the transaction information is valid, the transaction information is uploaded to the blockchain.
Optionally, the generated content is text information corresponding to the generated content through the AI model based on input data of a user, and in the process of designing the uplink information, since the generated content information may not be generated currently, the generated content information may be designed with a null character, and when the generated content information is generated subsequently, the generated text information may be stored in a reserved character string.
Optionally, controlling the usage rights of the user and restricting unauthorized user usage to generate the AI includes: determining a use right according to the information of the user; or determining the user right based on the user signature, specifically uploading a user signature when the blockchain is called, specifically encrypting and decrypting the user signature by a key mode, and finally determining the user right based on the decrypted user signature. Specifically, the identity authentication may be implemented using standards such as OAuth and OpenID Connect, which are already mature in the prior art, and therefore will not be described here in detail.
Optionally, verifying the validity of the transaction information may include: whether the signature of the user is valid or not is determined by the signature of the user, whether the signature of the user is consistent with the pre-stored data or not is determined, if the signature is consistent with the pre-stored data, the transaction information is determined to be valid, and if the signature is not consistent with the pre-stored data, the transaction information is determined to be invalid.
Optionally, the step S130 includes: s1301: receiving an authorization request sent by a user to the supervision block chain network; s1302: judging whether a user signature contained in the authorization request is correct or not based on the supervision intelligent contract; s1303: responding to the supervision intelligent contract to judge that the user signature is correct, and verifying the authorization request as a request sent by a correct user; s1304: responding to an authorization request sent by a correct user, acquiring input data of the user and judging whether the input data of the user is healthy data or not; s1305: responding to the health data input by the user, and judging whether the user state is a normal state or not; s1306: and returning authorization information to the user in response to the state of the user being a normal state.
Optionally, step S1304: responding to the right authorization request sent by the user, obtaining the input data of the user and judging whether the input data of the user is health data comprises the following steps: by acquiring keywords in the data input by the user, whether the data input by the user is healthy data can be determined based on the keywords. Specifically, before the user expects to use the AI model, the user needs to send an authorization request to the blockchain network, where the authorization request carries user information and information of keywords input by the user, and based on a pre-deployed supervision intelligent contract, first determines whether the user signature is correct to verify whether the user is a request sent by a correct user, then determines input content of the user to verify whether the user tries to input illegal content to the model, and finally determines a user state to verify whether the user is disabled. If the correct user inputs legal content and the user is in a normal state, authorization information is returned. That is, if one of the above three criteria is not satisfied, no authorization information is returned to the user.
Optionally, the step S140 includes: s1401: in response to authorizing the user to use the AI model, text information corresponding thereto is generated by the AI model based on the user's input data.
Optionally, the step S150 further includes: s1501: the generated text information, user information, identifier information of the AI model, and input data information are stored in a blockchain network. Wherein, step S1501 includes: binding the generated text information, user information, identifier information of the AI model and input data information, and sending the bound data as one data to a supervision block chain network for storage. This may facilitate subsequent traceability based on the generated text information.
Optionally, the step S160 includes: s1601: inquiring information stored on the supervision block chain network; s1602: whether the text information generated based on the query result analysis is health information; s1603: when the generated text information is non-health information, tracing back user information and model information bound with the generated text information; s1604: judging whether the unhealthy information is generated by a user or by an AI model based on the trace back result; s1605: and generating analysis result prompt information based on the judgment result. Specifically, when a user generates text using the generation AI, its transaction information is written into the blockchain, and the transaction information should include information such as generated text content, generation time, input data, and the like. The supervision department can access the data on the blockchain through the query interface, query the text generated by a certain user in a certain time period, and further analyze whether the text content is legal or not. If the illegal information is caused by the user or the model, the user is restricted to recall the illegal information, and even the legal responsibility is pursued; if the model is created, the constraint model is called again.
According to the embodiment of the application, the special intelligent contract for supervision is designed and deployed by constructing the blockchain network, the user information, the input data and the AI output data are stored on the blockchain, and the supervision department is allowed to inquire and trace, so that the problem that the content generated by the text generation type AI cannot be efficiently supervised in the prior art is solved, the transparency and traceability of the generated type AI are improved, and the government supervision department is helped to better supervise and audit the use of the generated type AI.
Example 2
Referring to fig. 2, the present embodiment provides a text generation AI supervision system based on a blockchain technique.
As an example, the system comprises:
a construction unit 210 is adapted to construct a supervised blockchain network.
A deployment unit 220 adapted to deploy a supervising intelligence contract on the supervising blockchain network.
A determining unit 230 is adapted to determine whether the user is authorized to use the AI model based on the supervising smart contract.
The generating unit 240 is adapted to generate text information corresponding thereto in response to the authorized user using the AI model.
And a storage unit 250, adapted to store the text information and the user information into the supervised blockchain network.
The query and analysis unit 260 is adapted to query and analyze information stored on the supervised blockchain network.
Example 3
Embodiments of the present invention also provide a computer readable storage medium having one or more instructions stored therein, which when executed by a processor, implement the steps of the blockchain technology-based text generation AI supervision method as described above. Because the storage medium adopts all the technical schemes of all the embodiments, the storage medium has at least all the beneficial effects brought by the technical schemes of the embodiments, and the description is omitted here.
Example 4
Referring to fig. 3, an embodiment of the present invention further provides an electronic device, including: a memory 302 and a processor 301; at least one program instruction is stored in the memory 302; the processor 301, by loading and executing the at least one program instruction, implements the text-generated AI administration method based on blockchain technology as provided by embodiment 1.
The memory 302 and the processor 301 are connected by a bus, which may include any number of interconnected buses and bridges, which connect together the various circuits of the one or more processors 301 and the memory 302. The bus may also connect various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or may be a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor 301 is transmitted over a wireless medium via an antenna, which further receives the data and transmits the data to the processor 301.
The processor 301 is responsible for managing the bus and general processing and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And memory 302 may be used to store data used by processor 301 in performing operations.
The foregoing is merely an embodiment of the present invention, and a specific structure and characteristics of common knowledge in the art, which are well known in the scheme, are not described herein, so that a person of ordinary skill in the art knows all the prior art in the application day or before the priority date of the present invention, and can know all the prior art in the field, and have the capability of applying the conventional experimental means before the date, so that a person of ordinary skill in the art can complete and implement the present embodiment in combination with his own capability in the light of the present application, and some typical known structures or known methods should not be an obstacle for a person of ordinary skill in the art to implement the present application. It should be noted that modifications and improvements can be made by those skilled in the art without departing from the structure of the present invention, and these should also be considered as the scope of the present invention, which does not affect the effect of the implementation of the present invention and the utility of the patent. The protection scope of the present application shall be subject to the content of the claims, and the description of the specific embodiments and the like in the specification can be used for explaining the content of the claims.

Claims (10)

1. A text generation AI supervision method based on a blockchain technique, the method comprising:
s110: constructing a supervision block chain network;
s120: deploying a supervisory intelligence contract on the supervisory blockchain network;
s130: determining whether to authorize the user to use an AI model based on the supervisory intelligence contract;
s140: generating text information corresponding to the AI model in response to the use of the AI model by the authorized user;
s150: storing the text information and user information into the supervision block chain network;
s160: and inquiring and analyzing the information stored on the supervision block chain network.
2. The blockchain technology-based text generation type AI supervision method according to claim 1, wherein the step S110 includes:
s1101: building a alliance block chain network corresponding to the supervision scope according to the supervision scope and the related institutions;
s1102: different authorities are granted different rights to different authorities.
3. The blockchain technology-based text generation type AI supervision method of claim 1, wherein the step S120 includes:
s1201: designing uplink information, wherein the uplink information comprises one or a combination of a timestamp, user identity information, input data, generated content and identification information of a generated AI model;
s1202: designing an intelligent contract;
s1203: deploying the intelligent contract into the supervisory blockchain network.
4. The blockchain technology-based text generation type AI supervision method of claim 3, wherein the step S1202 includes:
s12021: controlling the use authority of the user and limiting the use of the generated AI by an unauthorized user;
s12022: acquiring transaction information and verifying the validity of the transaction information, wherein the transaction information comprises one or a combination of generated text content, generation time and input data information;
s12023: when the transaction information is valid, the transaction information is uploaded to the blockchain.
5. The blockchain technology-based text generation type AI supervision method of claim 1, wherein the step S130 includes:
s1301: receiving an authorization request sent by a user to the supervision block chain network;
s1302: judging whether a user signature contained in the authorization request is correct or not based on the supervision intelligent contract;
s1303: responding to the supervision intelligent contract to judge that the user signature is correct, and verifying the authorization request as a request sent by a correct user;
s1304: responding to an authorization request sent by a correct user, acquiring input data of the user and judging whether the input data of the user is healthy data or not;
s1305: responding to the health data input by the user, and judging whether the user state is a normal state or not;
s1306: and returning authorization information to the user in response to the state of the user being a normal state.
6. The blockchain technology-based text generation type AI supervision method of claim 1, wherein the step S140 includes:
s1401: in response to authorizing the user to use the AI model, text information corresponding thereto is generated by the AI model based on the user's input data.
7. The blockchain technology-based text generation type AI supervision method of claim 1, wherein the step S150 further includes:
s1501: the generated text information, user information, identifier information of the AI model, and input data information are stored in a blockchain network.
8. The blockchain technology-based text generation type AI supervision method of claim 7, wherein the step S1501 includes:
binding the generated text information, user information, identifier information of the AI model and input data information, and sending the bound data as one data to a supervision block chain network for storage.
9. The blockchain technology-based text generation type AI supervision method of claim 1, wherein the step S160 includes:
s1601: inquiring information stored on the supervision block chain network;
s1602: whether the text information generated based on the query result analysis is health information;
s1603: when the generated text information is non-health information, tracing back user information and model information bound with the generated text information;
s1604: judging whether the unhealthy information is generated by a user or by an AI model based on the trace back result;
s1605: and generating analysis result prompt information based on the judgment result.
10. A text-generated AI administration system based on blockchain technology, the system comprising:
the construction unit is suitable for constructing a supervision block chain network;
the deployment unit is suitable for deploying supervision intelligent contracts on the supervision blockchain network;
a judging unit adapted to determine whether the user is authorized to use the AI model based on the supervisory intelligence contract;
the generation unit is suitable for responding to the use of the AI model by the authorized user and generating text information corresponding to the AI model;
the storage unit is suitable for storing the text information and the user information into the supervision block chain network;
and the inquiring and analyzing unit is suitable for inquiring and analyzing the information stored on the supervision block chain network.
CN202310222614.3A 2023-03-02 2023-03-02 Text generation type AI (advanced technology attachment) supervision method and system based on blockchain technology Pending CN116450786A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310222614.3A CN116450786A (en) 2023-03-02 2023-03-02 Text generation type AI (advanced technology attachment) supervision method and system based on blockchain technology

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310222614.3A CN116450786A (en) 2023-03-02 2023-03-02 Text generation type AI (advanced technology attachment) supervision method and system based on blockchain technology

Publications (1)

Publication Number Publication Date
CN116450786A true CN116450786A (en) 2023-07-18

Family

ID=87131077

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310222614.3A Pending CN116450786A (en) 2023-03-02 2023-03-02 Text generation type AI (advanced technology attachment) supervision method and system based on blockchain technology

Country Status (1)

Country Link
CN (1) CN116450786A (en)

Similar Documents

Publication Publication Date Title
Maesa et al. Blockchain based access control services
EP3694175B1 (en) System and method for delegating authority through coupled devices
CN107835195B (en) Distributed network application node integrated management method
Abdunabi et al. Specification, validation, and enforcement of a generalized spatio-temporal role-based access control model
CN105408912A (en) Process authentication and resource permissions
US20130019002A1 (en) System and methods of resource usage using an interoperable management framework
CN111523102A (en) Applet login method, device, equipment and computer readable storage medium
CN109150834A (en) A kind of embedded device license authorization management method
Trad Integrating a Holistic Enterprise Architecture Pattern: A Proof of Concept
CN104639599A (en) System and method for downloading files in bulk
CN109684802A (en) A kind of method and system providing a user artificial intelligence platform
CN116450786A (en) Text generation type AI (advanced technology attachment) supervision method and system based on blockchain technology
CN103581200A (en) Method and system for achieving fast circulation of structural file among multiple levels of safety domains
US9479492B1 (en) Authored injections of context that are resolved at authentication time
CN112417403B (en) Automatic system authentication and authorization processing method based on GitLab API
US20220141232A1 (en) Method for managing communication authority based on multi-energy equipment data flow using digital twin and a system thereof
Sinnott Grid security
JP5962671B2 (en) Information processing apparatus, information processing method, and computer program
van Den Berghe et al. Security patterns 2.0: towards security patterns based on security building blocks
van den Broek et al. Securely derived identity credentials on smart phones via self-enrolment
CN103023855A (en) Security login system based on hardware parameters of client computer
Skogsrud et al. Trust-serv: A lightweight trust negotiation service
CN116416461A (en) AI generation picture supervision method and system based on block chain and image recognition technology
CN109150590A (en) A kind of Internet of Things application platform automatically generates things system
CN103905390A (en) Permission acquisition method, device, electronic equipment and system

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination