12 results about "Network integrity" patented technology

An AI-based Cybersecurity System and Method enable real-time detection, analysis, and mitigation of cyber threats within computing networks using adaptive artificial intelligence. The system continuously monitors network traffic, extracts behavioral and contextual attributes, and applies deep learning-based inference to identify anomalous activities indicating security breaches. The method integrates several computational units, including a network monitoring unit, feature extraction unit, artificial intelligence processor, contextual reasoning processor, and decision synthesis unit, to compute a composite risk index quantifying threat likelihood and severity. A classification processor categorizes detected threats into types such as ransomware, phishing, or unauthorized access, while a mitigation control processor initiates automated response actions to isolate compromised nodes and restore network integrity. An adaptive learning processor updates AI models using feedback from confirmed incidents. This provides a scalable, self-evolving cybersecurity framework that minimizes human intervention and enhances resilience against dynamic and zero-day threats.

A method for enhancing security of data, code, and / or network components by introducing a layer of integrity management that adapts to changing conditions within a network. The method may include use of a processor to perform intrusion analysis using an intrusion detection system and / or prevention system, behavioral analysis by accessing user logs to see if behavior is within a normal range, and / or geolocation analysis to see if the piece of data, section of code, and / or network component are within their usual surroundings. When there is a concern of a data breach, leak, and / or hack, the processor may initiate a response that detects other pieces of data, sections of code, and / or network components in proximity, initiates a self-destruct mechanism, triggers hardware to perform outside of operational specifications, and contains the spread of the data breach, leak, and / or hack through shutdown procedures, isolating affected systems, and / or alerting security personnel.

The invention relates to the technical field of wireless networking, in particular to a shipborne digital wireless ad hoc network method and system, and the method comprises the following steps: obtaining ship communication equipment information, constructing a layered mark matrix, generating a node role identifier set, monitoring response time delay, judging a connection relation, and establishing a communication topology. And optimizing spectrum allocation according to an interference ratio and an overlapping coefficient, completing channel matching and path completion, executing AES encryption and encapsulation of data frames, and decrypting and verifying time delay record effective data frames by a receiving end according to a key index. According to the invention, through combination of hierarchical marks established by node equipment information and communication roles, the accuracy of inter-node connection priority and hierarchical mapping is improved, through dual detection of the interference ratio and the spectrum overlapping coefficient of the channel, the stability of a communication path and the channel utilization rate are improved, and the communication efficiency is improved. In a node link matching process, path breakpoints are complemented to guarantee network integrity, a security header field is embedded in combination with a key index and a channel number, and the security guarantee level of data encryption transmission is improved.

In various embodiments, systems and methods for quantum-based network traffic anomaly detection are disclosed. Embodiments for a network integrity monitor are disclosed that leverage a quantum computing-based network assessment function to evaluate network event data for the purposes of identifying and / or predicting anomalies indicative of network threats. To identify network anomalies, the network assessment function may treat the anomaly identification as a quantum search task by searching the task data using an amplitude amplification quantum search algorithm and / or using quantum machine learning models to infer a threat prediction that may include a single or multiclass classification characterizing the task data. Such classification(s) may be further assessed by the network integrity monitor as the basis to trigger one or more mitigating steps.

In one aspect of the disclosure, a method, a computer readable medium, and an apparatus are provided. In some embodiments, the device may be a User Equipment, UE, or the like. The user equipment performs a procedure for emergency service fallback. A user equipment receives an AUHENTICATION REJECT message from a network during a first procedure. The user equipment performs a generic operation of authentication rejection by the network. These generic operations may involve updating the internal state of the user equipment and clearing certain security parameters to maintain network integrity.

A neural network is trained to match digital samples to categories in a set of categories and when presented with at least one golden sample, which is a sample outside the set of categories, to output a probability vector indicative of a preposterous result that the golden sample is matched to a predefined category in the set of categories. The secure computer system is programmed with the trained neural network, adapted to receive digital samples and to present the digital samples to the trained neural network. As an integrity check, the computer system, is caused to present the golden sample to the trained neural network and if the neural network outputs a probability vector classifying the golden sample into a predefined category in a way that is a preposterous result, declaring the neural network as uncompromised and, otherwise, declaring the neural network as compromised.

A method for enhancing security of data, code, and / or network components by introducing a layer of integrity management that adapts to changing conditions within a network. The method may include use of a processor to perform intrusion analysis using an intrusion detection system and / or prevention system, behavioral analysis by accessing user logs to see if behavior is within a normal range, and / or geolocation analysis to see if the piece of data, section of code, and / or network component are within their usual surroundings. When there is a concern of a data breach, leak, and / or hack, the processor may initiate a response that detects other pieces of data, sections of code, and / or network components in proximity, initiates a self-destruct mechanism, triggers hardware to perform outside of operational specifications, and contains the spread of the data breach, leak, and / or hack through shutdown procedures, isolating affected systems, and / or alerting security personnel.

The invention provides a dynamic load-oriented block chain node cooperation method, system and device, and a medium, and belongs to the technical field of block chains. The method comprises the following steps: dividing the operation time of a block chain system into continuous time slots; a parallelism degree parameter is dynamically set according to a real-time load, a current time slot is divided into mutually independent proposed positions, and nodes compete at different positions through proof of workload to generate candidate blocks in parallel; all the nodes execute whole-network integrity verification on the candidate blocks, after effective blocks are confirmed, the effective blocks are linked by adopting a prefix link structure, and a unique main chain is determined based on an accumulated workload rule; and dynamically calculating the parallelism degree parameter of the next time slot according to the load index, thereby realizing the self-adaptive adjustment of the system processing capability. According to the method, on the premise of keeping single chain security and consistency, the throughput, the resource utilization rate and the response efficiency of a block chain system under a dynamic load are improved through a dynamic parallel block output and elastic adjustment mechanism.

The application discloses a kind of spacecraft cable network integrity and priority automatic evaluation method, the method includes information self-checking, network integrity check, cable proofreading auditing step, wherein: information self-checking: by selecting data file for input, using pre-set check rule to write correctness of data, input data, the range of numerical value, comprehensive inspection is carried out;Network integrity check: the information data of summary is compared, the connector and pin of all equipment are checked, repeated data, redundant data and the data with defects are detected, and feedback is carried out;Cable priority automatic evaluation: the cable imported in design system is arranged in priority, and when next step design is carried out, the production order and serial number of cable are automatically generated according to priority order.The application uses pre-set rule, uses computer to replace manual error correction, and can check the integrity of the data collected, complete cable network priority evaluation.

Aspects of the subject disclosure may include, for example, a system for detecting and mitigating Wi-Fi jamming attacks that employs an AI model trained on historical data to predict jamming attempts and dynamically adjust network parameters, such as frequency channels and transmission power, to maintain network integrity. The system may provide real-time alerts and may use adaptive beamforming to enhance resilience against jamming threats. Other embodiments are disclosed.

This invention relates to the field of wireless networking technology, specifically to a shipborne digital wireless ad hoc network method and system, comprising the following steps: acquiring ship communication equipment information and constructing a hierarchical tagging matrix; generating a node role identifier set; monitoring response delay to determine connection relationships and establish a communication topology; optimizing spectrum allocation based on interference ratio and overlap coefficient; completing channel matching and path completion; executing AES encryption to encapsulate data frames; and having the receiving end decrypt and verify the delay record of valid data frames according to the key index. This invention improves the accuracy of connection priority and hierarchical mapping between nodes by combining node equipment information with hierarchical tagging established based on communication roles. It enhances the stability of communication paths and channel utilization through dual detection of channel interference ratio and spectrum overlap coefficient. It ensures network integrity by completing path breakpoints during node link matching and embedding a security header field using the key index and channel number. Finally, it improves the security level of encrypted data transmission.

Disclosed are systems and methods that provide a decision-intelligence (DI)-based, computerized framework for automatically and / or dynamically managing connectivity and / or operation of assets on / over an electronic network. The disclosed framework functions in relation to providing network management, inclusive of inventor and network reconciliation, via a network data quality management tool (NDQ). The NDQ framework is configured for advanced network data discovery, provisioning analysis, discrepancy resolution, monitoring processes, and the like. The disclosed NDQ framework serves as a comprehensive, automated solution for ensuring accurate network data and seamless network management by integrating advanced analytics, multi-platform compatibility, and automation capabilities. The framework operates to provide a unified, high-quality network data environment by aligning asset provisioning data with network provisioning data, identifying and resolving discrepancies, and enabling ongoing monitoring to maintain network integrity.