449 results about "Security enhancement" patented technology

The invention relates to the technical field of data processing, provides a multi-node carbon emission intelligent contract verification method based on a block chain, and aims to solve the problems that data verification in an existing carbon asset transaction system is non-transparent, high in trust cost and difficult to adapt to policy changes. Distributed storage and dynamic verification of data are realized by constructing a hierarchical block chain architecture, the data are collected by using edge computing nodes, and third-party verification data are obtained through an oracle machine node cluster. The dynamic rule engine monitors data changes in real time, triggers a multi-stage verification process, and improves the data accuracy. And meanwhile, an improved Byzantine fault-tolerant mechanism is adopted to reach a consensus, and the system has the functions of strategy dynamic updating and security enhancement, so that the flexibility and security of the system are improved. According to the method, multi-party consensus and real-time verification of the carbon emission data are realized, trust cost of cooperation among enterprises is reduced, and healthy development of a carbon emission permit trading market is promoted.

The invention discloses a multi-source heterogeneous data dynamic protocol security exchange adaptation system, which comprises a protocol analysis engine, a data encryption module, a data format standardization engine and a routing strategy engine, and is characterized in that the protocol analysis engine is respectively connected with a data source, the data encryption module and the data format standardization engine; the data format standardization engine is connected with the routing strategy engine, and the routing strategy engine is connected with the nodes. The invention discloses a multi-source heterogeneous data dynamic protocol secure exchange adaptation method. Comprising the following steps of protocol analysis and data conversion, data encryption and sensitive data desensitization, integrity verification and anomaly detection, routing strategy and intelligent scheduling, data distribution and storage, and dynamic extension and protocol adaptation, and the dynamic conversion of different protocol data ensures that various types of data can be smoothly interacted. Meanwhile, an advanced data security enhancement technology is integrated, multiple protections such as encryption and authentication are carried out on transmitted and stored data, and the data security is effectively improved.

The invention discloses a market supervision data exchange platform migration and security enhancement method and system based on a credential environment, and relates to the technical field of network security. In the data migration process, the consistency and privacy protection of the data are ensured through Hash check and a multi-party security computing technology; a domestic commercial cryptographic algorithm and a quantum resistance encryption technology are introduced, so that the protection capability of the platform to existing security threats is effectively improved, and the resistance to future quantum computing threats is enhanced; an intrusion detection system and a virtual honeypot node are integrated, and a defense strategy is monitored and updated in real time in combination with a deep learning model, so that novel attack behaviors can be detected and coped with in real time; according to an intrusion detection alarm and a block chain audit result, a security policy and resource allocation are dynamically adjusted in combination with a machine learning technology, it is ensured that high-risk nodes are monitored in time, resource allocation is automatically optimized, and the resource utilization efficiency and security of the system are improved.

The invention provides an adaptive interference suppression carrier communication system based on a complex electromagnetic environment, relates to the technical field of communication systems, and solves the problems that an existing communication system is poor in adaptability, weak in anti-interference capability and lack of collaboration and safety in the complex electromagnetic environment. The system comprises an environment perception module used for deeply perceiving an environment and identifying known and unknown interferences by using AI; the cognitive decision engine is used for generating a multi-domain control instruction by utilizing AI according to environment, internal, cooperation and safety states; the self-adaptive transceiving control module is used for executing cross-multi-domain parameter self-adaptive adjustment; the distributed collaborative module is used for realizing information sharing among nodes, federated learning and collaborative resource management; and the endogenous security enhancement module is used for executing active security mechanisms such as dynamic heterogeneous redundancy, mimicry defense and physical layer authentication. The invention further discloses a corresponding communication method. According to the method, the robustness, adaptability, efficiency and safety of a communication system in a complex electromagnetic environment can be remarkably improved.

The invention discloses a system and a method for security enhancement of generated content information of a large model, and the method comprises the steps: firstly, carrying out the bidirectional LoRA fine tuning technology and knowledge distillation technology on the large model, and enabling the large model to adapt to a factual output task from the illusion dimension and the factual dimension; performing extraction of intermediate layer representation in a fact space on the fine-tuned large model, and obtaining different mappings from fine-grained illusion types to a fact direction through a comparative learning method; and finally, in the reasoning generation process of the large model, extracting the representation of the middle layer of the large model to judge the potential illusion type, then applying the learned mapping corresponding to different illusions to the middle representation of the reasoning process, correcting factual representation, reducing the illusion output probability, and in the pre-training stage and the reasoning generation stage, obtaining the illusion type of the large model. Parameters and generated contents of the large model are controlled, and the factuality and reliability of the generated contents of the large model are greatly improved while the generation capability of the large model is guaranteed.

The invention relates to the technical field of artificial intelligence, and particularly provides a low-sample NL2SQL intelligent generation method and device, and the method comprises the following steps: S1, enabling a dynamic sample extension module to solve a training data sparse problem in a small sample scene through an intention clarification and data enhancement technology; s2, the clause dependency chain type generation framework converts natural language query into structured query language (SQL) statements with clear structures through semantic analysis, clause generation and dependency modeling; s3, the multi-agent cooperation platform performs iterative optimization through intention recognition, SQL generation and code execution; s4, enabling an automatic evaluation and iteration mechanism to pass a standardized test and continuous optimization; and S5, carrying out field adaptation and security enhancement. Compared with the prior art, the complex query processing capacity can be improved, and the stability and safety of the system are guaranteed through automatic evaluation and a safety mechanism.

The invention relates to the technical field of block chains and artificial intelligence, and discloses an AI-based block chain smart contract cross-domain authentication security enhancement method and system.The AI-based block chain smart contract cross-domain authentication security enhancement method comprises the steps that a hierarchical security architecture comprising a sensing layer, an analysis layer, a decision-making layer and an execution layer is constructed, collecting cross-domain authentication data and transmitting the cross-domain authentication data to an analysis layer; realizing a threat detection model based on deep learning, receiving feature data collected by the sensing layer, and outputting a threat score and an abnormal index; establishing a dynamic trust evaluation mechanism, receiving an output result of the threat detection model, and calculating a real-time trust value between entities; and designing an adaptive authentication strategy optimization algorithm, and dynamically selecting an optimal authentication strategy based on a trust evaluation result, so that the problem of security authentication between heterogeneous block chain networks can be solved, and an efficient and secure cross-domain authentication solution is provided.

The invention belongs to the technical field of resource management and scheduling, and particularly relates to an intelligent AI platform resource management and scheduling system based on K8s. Comprising a dynamic resource prediction module, a K8s cluster management and resource scheduling module, a resource monitoring and analysis module, a resource isolation and sharing module, a computing power resource allocation module, a security enhanced mirror image warehouse and a reasoning early warning system. Through the synergistic effect of the modules, the technical problems of inflexible resource scheduling, insufficient resource monitoring, incomplete user resource isolation, limited computing power distribution, complex mirror image management and incomplete operation and maintenance management of an AI platform in the prior art are solved.

The invention provides an IKE (Internet Key Exchange) protocol security enhancement method based on PUF (Physical Unclonable Function) dynamic authentication and a post-quantum mixed key, which organically combines a PUF, a post-quantum cryptographic algorithm (PQC, especially Kyber KEM) and an improved Internet Key Exchange Protocol (IKE) to realize key exchange of post-quantum security and enhanced identity authentication. The method comprises the following steps: generating a dynamic pre-shared key (PSK) by utilizing the PUF; the method comprises the following steps: integrating a Kyber KEM to an IKE protocol, and replacing traditional Diffie-Hellman key exchange; the PUF-driven dynamic PSK is used as an identity authentication method of the IKE; meanwhile, Kyber KEM and ECDH are adopted for key exchange, and a final session key is generated through joint participation of a Kyber negotiation key, an ECDH negotiation key and PSK derived by PUF; and an IKE protocol process is optimized, and Kyber key exchange and PUF (Physical Unclonable Function) authentication are completed in an IKESAINIT stage and an IKEINTERMEDIATE stage. According to the method, key exchange is post-quantum secure, identity authentication is also post-quantum secure, and the final key integrates three key components of Kyber, ECDH and PUF, so that triple security assurance is provided.

The invention discloses an electronic creditor's right certificate intelligent issuing method, which comprises the steps of S1, enhanced data collection and preprocessing: constructing an intelligent human-computer interaction interface, realizing efficient collection of specified data, and automatically analyzing uploaded document content; s2, deep data verification and intelligent analysis: analyzing the data by using a machine learning model to ensure accuracy, and verifying the logic consistency of the creditor and debt relationship; s3, self-adaptive creditor's right voucher generation: dynamically generating an electronic creditor's right voucher meeting legal requirements and industry standards by the system; s4, security enhancement and block chain evidence storage: endowing each electronic creditor's right certificate with a unique digital signature and a unique timestamp by adopting an encryption technology and a distributed account book mechanism; and S5, integrating and optimizing an automatic process, wherein the system design is compatible with various financial ecosystems. According to the invention, full-chain intellectualization from data acquisition and analysis to automatic voucher generation can be realized, and the issuing efficiency of the electronic creditor's right voucher is greatly improved.

The invention discloses an Internet of Things data transmission security enhancement method combined with quantum random number generation, which comprises the following steps of: generating a high-security and unpredictable random number seed through a quantum random number generator, and generating a dynamic binding key in combination with a unique identifier of equipment and a timestamp, the binding key is used for generating a shared session key between devices through a quantum secure handshake protocol, so that the confidentiality and integrity of data transmission are ensured, a dynamic key updating mechanism is introduced, the binding key and the session key are updated regularly, the security risk caused by long-term use of the same key is avoided, a key destruction mechanism is designed, and the security of data transmission is ensured. A session key is completely destroyed after a session is ended, a malicious attacker is prevented from recovering the key, and a standby key generation and synchronization mechanism ensures that the system can automatically switch to a standby key when key synchronization fails or communication is abnormal, so that data transmission is not affected. The method has the advantages of good expandability and high safety.

The invention discloses a remote data rapid transmission system and method based on the Internet, a client initiates a session establishment request containing a session type identifier and a transmission protocol identifier to a server, receives a session response message after transmitting an initial data packet, obtains a temporary session key through verification of a key distribution center, and transmits the session response message to the server; an authorization identifier and a protocol verification symbol are generated through hierarchical decryption, a security enhancement data packet is constructed and sent, an end-to-end encryption transmission channel is further established, and meanwhile, a session maintenance mechanism is provided. And the server verifies a session type identifier and a transmission protocol identifier of the client, generates a session response message containing a dynamic confusion strategy and a trap identifier, submits the session response message to a key distribution center for signature, returns the session response message to the client, activates a secure transmission service instance after verifying a security enhancement data packet, and implements a series of security control strategies. According to the invention, the problems of low transmission efficiency and poor security of the existing remote data transmission system are effectively solved, and efficient and secure data transmission is realized.

Systems and methods are disclosed for autonomous security enhancement of a tenant network via a managed security service provider (MSSP) server comprising a processor and a memory, with information from a plurality of data sources, the method comprising querying a database or server, upon an encounter with an indicator of compromise (IoC), by a security system, to identify data sources of a plurality of data sources, wherein the data sources include information on the IoC; generating, via the processor, an IoC threat score for the IoC; generating, at least one actionable security enhancement notification based on the IoC threat score; and deploying an automated security response that can comprise displaying the IoC threat score and an actionable security enhancement notification to a user, allowing triggering or disabling of at least one action based on the single IoC threat score.

The invention discloses an Internet of Things equipment monitoring data stream processing method and system. The method comprises the following steps: step 1, collecting and preprocessing multi-source heterogeneous data; step 2, dynamic routing distribution; step 3, edge calculation processing; 4, performing real-time feedback regulation and control; 5, performing anomaly detection and fault tolerance; step 6, data persistence storage; step 7, performing multi-dimensional analysis; and step 8, security enhancement processing. According to the method, intelligent distribution of data streams is realized through the dynamic routing engine, optimal nodes are matched, and resource waste is reduced; the edge computing node cluster completes preliminary screening and filtering, reduces core pressure, adopts an active-active storage subsystem, combines hot and cold storage, reduces cost and guarantees access performance, a safety protection module constructs a full-link safety system, and cooperates with a dual-mode redundancy architecture to improve system availability and fault switching second-level response.

Systems and methods that employ a streaming device operable with a live streaming platform that offers certain security enhancements independent of any content being streamed to a client device by the live streaming platform.

The invention discloses an internal and external network security service passing method and system based on edge computing, and belongs to the technical field of network security, and the method comprises the steps: obtaining multi-dimensional attribute information of an edge node, generating a security policy basic data set, generating a traffic feature fingerprint and a self-adaptive environment adaptive fingerprint, and calculating a fusion matching degree; edge security entity nodes are generated in combination with service scene adaptive threshold clustering, and then a security policy meta-model with a security policy blueprint as a core is constructed; analyzing the security policy meta-model through a multi-modal semantic analysis engine, generating a dynamic security enhancement model, and mapping the dynamic security enhancement model to a hierarchical security control model; based on the hierarchical model, outputting edge node internal and external network safety passage configuration and a corresponding safety passage ledger through a scenarized configuration generation algorithm; according to the method, adaptive generation, dynamic optimization and accurate execution of the security policy are realized, and the security, the automation level and the operation and maintenance efficiency of internal and external network passing in the edge computing environment are effectively improved.

The present technology relates to a computer-implemented method for enhancing enterprise-wide security when using Artificial intelligence (AI) models. Embodiments involve a JavaScript injection process facilitated by a proxy server. This process does not require manual installation as it is automatically injected during operation. The JavaScript injection process operates by intercepting unsecured AI input and output data provided by users interacting with AI websites. The input and output data are sent to a security Application Programming Interface (API) which applies an enterprise security policy to the data in real-time, thereby transforming unsecured input and output into secure data. Embodiments provide a robust framework for safe interaction with Artificial intelligence models while mitigating the risks associated with the transmission of sensitive information over the internet.

The invention discloses a high-energy-efficiency space-time correlation distributed sensing node security anti-attack verification method, and aims at low power consumption and high-efficiency security enhancement of mass distributed deployment sensing nodes. The method comprises a low-power-consumption data transmission unit, a spatial neighborhood information fusion sensing data correction unit, a self-adaptive sensing information trend prediction time sequence security copy generation unit, a micro-power-consumption self-adaptive data acquisition unit, a self-adaptive difference value trigger anomaly detection unit, a self-adaptive data integrity verification unit, a self-adaptive data integrity recovery unit and the like. When the system runs, the gateway forms a time sequence-neighborhood fusion security copy according to a multi-node weighted data change rule, judges whether current sensing data is tampered or not on the basis of the time sequence-neighborhood fusion security copy, and corrects error data. And meanwhile, the gateway optimizes the node working mode in real time according to the node sensing data change trend characteristics contained in the security copy, so that the data security is improved, the power consumption is further reduced, the service life of a battery is prolonged, and large-scale application is promoted.

The invention relates to the technical field of artificial intelligence, can be applied to business scenes such as agent autonomous decision making, financial science and technology and medical health, and discloses an action strategy security enhancement method, device and equipment and a medium. And generating an initial action strategy through a strategy generation module based on the task target and the fused security perception feature, projecting the initial action strategy to a security constraint space to obtain a security action strategy, monitoring state data of the controlled object in an execution process, and executing an intervention measure when the state data triggers a monitoring threshold. And collecting execution process data and updating a strategy generation module based on the execution process data. According to the method, the initial action strategy is generated through fusion of the multi-modal sensing information and the task target, and the safety of task execution of the robot in a complex environment is improved by combining the safety constraint space projection, the state monitoring and the data feedback updating strategy generation module.

The invention relates to a public multi-mode cloud network resource software security enhancement method based on neural symbol fusion reasoning, which comprises the following steps: an intermediate representation generation stage: generating and optimizing an intermediate representation of a program through a fine-tuned large language model, and establishing semantic mapping from a source code to a structured logic representation; in the symbol language conversion stage, the intermediate representation generated by the large language model is converted into a domain-specific language fact set which can be recognized in the symbol logic reasoning stage, and formal and logic expression of program semantics is achieved; and a symbol logic reasoning stage: matching the fact set with the rule base through a symbol logic reasoning engine, performing detection and verification according to the safety rule, generating a structured report, and feeding back a result for optimization. The method is suitable for security enhancement of various core software systems in a public cloud network multi-modal network environment, high-precision security analysis is carried out on cross-modal and cross-subsystem fragmented codes in a compiling-free environment, and verifiable technical support is provided for public cloud network security control.

The invention provides a power grid data efficient storage and security enhancement system and method. The system comprises a data acquisition module used for continuously acquiring power grid data of each node in a power grid; the storage module is used for identifying an association relationship among different nodes according to the power grid data provided by the data acquisition module, and predicting nodes which are frequently accessed in the future according to the association relationship; the data storage module is also used for storing the power grid data of the predicted nodes into the high-speed storage equipment; the data storage module is also used for predicting future storage requirements according to the stored power grid data and dynamically adjusting storage resource distribution of the high-speed storage equipment according to the storage requirements; and the monitoring and early warning module is used for performing intrusion detection according to the power grid data provided by the data acquisition module and starting an intrusion prevention strategy according to an intrusion detection result. According to the efficient storage and security enhancement system based on the cloud technology, the data storage efficiency and the system security are remarkably improved.

The invention relates to a dynamic double-layer hidden watermark and encryption binding file protection method and system based on deep learning, and belongs to the technical field of digital content security. The problems of attack resistance, traceability obstruction and key-watermark unhooking in document cross-platform circulation are solved. According to the scheme, the method comprises the following steps of: extracting semantic fingerprints by using a sentence vector model Sentence-BERT; the fuzzy extractor generates a master key and derives a time key chain; the authentication encryption algorithm AEAD encrypts and binds the source and the timestamp load; container layer structure rearrangement and document layer zero-width character double embedding are carried out; the generative adversarial network or diffusion model adversarial training improves the optical character recognition and transcoding resistance; version binding and tracing are achieved through the watermark hash chain. The technical effects cover anti-counterfeiting migration, cross-layer fault-tolerant guarantee recoverability, rearrangement attack resistance, full-period accurate traceability and post-quantum security enhancement.

The invention relates to the technical field of information processing, in particular to a user-oriented multi-tenant security enhancement service isolation system, comprising: at least one tenant, each tenant having an independent namespace, at least one corresponding service, at least one corresponding node, and a network storage space; the public node pool comprises a plurality of public nodes, and firewalls are arranged between the public nodes and the nodes corresponding to the tenants; and the resource controller is used for dynamically adjusting the resources of different tenants. A safe isolation environment of computing resources, storage resources and network resources is constructed in a mode of combining soft isolation and hard isolation, safe and efficient resource intensive management of a multi-tenant environment is realized, a resource adjustment mode of each tenant is determined according to index data of each tenant, tenant resources are automatically and dynamically allocated, and the resource utilization rate is improved. And the business isolation requirements of the tenants are met on the premise of ensuring the system stability and security.

The invention discloses a Modbus protocol security enhancement method in a multicast communication scene, which comprises the following steps: when a master node initiates an identity authentication request, the master node calculates a first message authentication code of a first random number according to a session key; wherein the session key is obtained according to random numbers pre-generated by the master node and the slave node; broadcasting and sending the encrypted session key and the first message authentication code to each slave node; the slave node decrypts the encrypted session key, and calculates a second message authentication code of the first random number according to the obtained session key; when the message authentication codes are the same, authenticating the identity of the main node; the slave node calculates a third message authentication code of the second random number by using the session key, and sends the third message authentication code to the master node; the main node uses the session key to calculate and obtain a fourth message authentication code of each second random number; and when the message authentication codes are the same, authenticating the identity of the corresponding slave node. According to the invention, the identity verification efficiency is improved, and the safety and reliability are improved.

Security-enhanced documents and methods of forming security-enhanced documents having indicia under a Scratch-Off Coating (SOC), and more particularly including digitally imaging video frames onto the display area and / or back of the documents. In certain embodiments, portions of digitally imaged video frames are also utilized as game play variable indicia.

The invention provides a large-model content security multi-level defense method. The method comprises the steps that an input-processing-output full-link multi-stage cooperative defense framework is constructed, and the full-link multi-stage cooperative defense framework receives to-be-detected user input data and transmits sensitive word detection passing content to an intention recognition module; the intention identification module judges the risk level of the user input data, and routes the user input data identified as medium and high risks to the risk label classification module; the risk label classification module performs risk category classification on the user input data, and transmits the user input data subjected to risk category classification to the security enhancement module; and the security enhancement module generates compliant system response content through a domain fine tuning and reinforcement learning strategy, and returns the system response content to the user after performing security interception processing on the system response content. Through hierarchical defense, dynamic routing and security enhancement module training, a large model security enhancement scheme covering the whole process of input, reasoning and output is constructed.

The invention relates to the technical field of computer networks, in particular to an intelligent agent system and method based on the MCP technology, and the system comprises an MCP intermediate layer protocol engine, an intelligent scheduling module, a channel management system, a security enhancement mechanism and an edge node self-learning mechanism. The method has the beneficial effects that support for various communication protocols (such as HTTP, MQTT, gRPC and the like) is realized through the MCP technology. Through the protocol adapter module, the system can automatically identify and load different protocol adapters, and parallel work of multiple protocols can be supported without manual intervention. The multi-protocol support greatly improves the flexibility of the system, so that the system can be seamlessly connected with equipment of different manufacturers and standards, and the requirements of complex and diverse application scenes are met.

The invention discloses a generalizable deep forgery detection method based on multi-classification guidance, and belongs to the technical field of image processing. According to the technical scheme, data enhancement is carried out on an image, and then the image is input into a binary classification network and a multi-classification network of a double-flow neural network; combining the features of the two branches through a fusion module; the fused features are input into a binary classifier to determine whether the input is authentic or counterfeited. The method has the beneficial effects that the generalizable deep counterfeiting detection method based on multi-classification guidance shows remarkable beneficial effects in the aspects of improving the model generalization ability, enhancing the feature expression ability, optimizing the loss function design, preventing over-fitting, improving the calculation efficiency, enhancing the label consistency and the like; the method is beneficial to suppressing the propagation of false information, maintaining the right to know and security of the public, enhancing the vigilance of people to the authenticity of information, laying a solid foundation for the applications of identity authentication, digital forensics and the like in multiple fields, and making an important contribution to the construction of a safer and more credible information society.

A security enhancement method, performed by a controller controlling a reconfigurable intelligent surface (RIS), may comprise: selecting first RIS elements for a first signal transmitted between a transmitter and a first receiver that is a legitimate receiver, the first RIS elements including at least part of elements of the RIS; transmitting the first signal to the first receiver using the first RIS elements; and dynamically rendering a channel with another receiver or an eavesdropper without changing a channel with the first receiver during a channel coherence time between the transmitter and the first receiver, by changing phase(s) of at least part of the first RIS elements at least once during the channel coherence time.

The invention discloses a large model domain security enhancement method based on a hybrid strategy, and discloses a system with the large model domain security enhancement method based on the hybrid strategy. According to the large model domain security enhancement method based on the hybrid strategy, a security defense strategy which does not need large model training and can be optimized for a domain specific security scene is provided. A user does not need to have a large language model fine tuning training technology basis and a data set construction basis, and does not need to have large-scale computing power. Security vulnerabilities found after online application can be blocked in time, and meanwhile, the security defense strategy provided by the invention can be quickly migrated to multiple field applications.