12 results about "Cognitive user" patented technology

The application discloses a decision fusion method, device and system for wideband spectrum sensing. The decision fusion method comprises judging the type of cognitive user. If the cognitive user is a reference cognitive user, the original decision symbol sequence of the cognitive user is kept and sent to a fusion center so that the fusion center makes a fusion decision. If the cognitive user is a non-reference cognitive user, the original decision symbol sequence of the cognitive user is extended to obtain an extended decision symbol sequence. Then, the extended decision symbol sequence is subjected to segmentation and majority voting operation in sequence to obtain a compressed decision symbol sequence, wherein the compressed decision symbol sequence has the same length as the original decision symbol sequence of the reference user. Finally, the compressed decision symbol sequence is sent to the fusion center so that the fusion center makes a fusion decision. The application can ensure the reliability of spectrum sensing, significantly reduce the system sensing and transmission overhead, and improve the energy efficiency and realizability of cooperative spectrum sensing.

The invention discloses an Internet of Vehicles spectrum allocation method, apparatus and device, and a medium, and belongs to the technical field of vehicle communication. The method comprises the following steps: acquiring the total bandwidth of a frequency spectrum of a base station, the number of terminal users connected with the base station, the idle bandwidth of an idle frequency spectrum, an alternative coefficient of the frequency spectrum, and the service security weight, the unit frequency spectrum income and the transmission frequency spectrum efficiency of each cognitive user; the service security weight is used for representing the security of the service; according to the total bandwidth, the number of the terminal users, the idle bandwidth, the replaceable coefficient, the security weight of each service, the income of each unit spectrum, the efficiency of each transmission spectrum, a preset authorized user profit function and a preset cognitive user profit function, the bandwidth of each service is obtained; and determining the optimal shared bandwidth rented to each cognitive user in the idle spectrum and the optimal unit spectrum renting price given by each cognitive user. According to the method, the idle spectrum of the authorized user can be allocated to the cognitive user, and the utilization rate of the spectrum is improved.

The present application discloses a spectrum cognitive collaborative anti-interference method, which includes: S1 all cognitive users establish an initialized spectrum perception neural network; S2 cognitive users perform full-band perception within the frequency band, and at the same time label all cognitive users according to the perceived spectrum data and store them in a data pool; randomly batch sample spectrum data from the data pool to train the spectrum perception neural network; S3 repeat step S2 to a preset number of cycles; S4 cognitive users select channels based on the greedy criterion to obtain an average frequency utilization success rate; S5 cognitive users obtain a loss function based on the average frequency utilization success rate, update the initially trained spectrum perception neural network, and obtain the cognitive user's anti-interference strategy based on the trained spectrum perception neural network. The present invention also discloses a spectrum cognitive collaborative anti-interference device and storage medium. The present invention adopts an intelligent perception method, and can obtain an efficient and reliable collaborative anti-interference communication strategy through independent learning.

The invention discloses a decision fusion method, device and system for broadband spectrum sensing. The decision fusion method comprises the following steps: judging the type of a cognitive user; if the cognitive user is a reference cognitive user, keeping an original judgment symbol sequence of the cognitive user, and sending the original judgment symbol sequence to a fusion center, so that the fusion center performs fusion judgment; if the cognitive user is a non-reference cognitive user, carrying out symbol extension on an original decision symbol sequence of the cognitive user to obtain an extended decision symbol sequence; then, sequentially performing segmentation and majority voting operation on the extended decision symbol sequence to obtain a compressed decision symbol sequence, the compressed decision symbol sequence being equal to an original decision symbol sequence of a reference user in length; and finally, sending the compression judgment symbol sequence to the fusion center, so that the fusion center carries out fusion judgment. According to the invention, on the premise of ensuring the reliability of spectrum sensing, the sensing and transmission overhead of the system is obviously reduced, and the energy efficiency and realizability of cooperative spectrum sensing are improved.

The present application relates to the security application field of cognitive radio spectrum sensing, and discloses a cognitive radio anti-PUE attack solution method based on an authentication center, which comprises two steps of registration and authentication processes, and the participating roles of the protocol process are a primary user network, a cognitive user, a malicious user and a third-party trusted authentication center; in the cognitive network, the number of base stations of the primary user network is far less than that of the cognitive user; the cognitive user is a user of spectrum holes, needs to access the cognitive network conveniently and quickly, and its main function should be placed on spectrum sensing and channel switching, so that the whole authentication process has the minimum modification on the function of the cognitive user and has high feasibility.

The invention discloses an SVM (Support Vector Machine) cooperative spectrum sensing method and system based on PSO (Particle Swarm Optimization), and relates to the technical field of cognitive radio. The system at least comprises a cognitive user, an authorized user and a fusion center, an authorized user, namely a primary user (PU), transmits a signal in an authorized frequency band, and the signal is influenced by path loss and fading in a propagation process; a cognitive user is a secondary user SU, a plurality of SUs are randomly distributed in a network, energy sampling is periodically carried out on a target frequency band, and local observation data are obtained; the fusion center, namely, FC, receives observation data uploaded by each SU and is used for unified judgment; and a PSO module and an SVM judgment module are deployed at the fusion center. According to the method, a hyper-parameter automatic optimization module based on particle swarm optimization (PSO) is introduced into a fusion center, so that a kernel parameter and a penalty factor of an SVM classifier can be adaptively adjusted under the conditions of a dynamic channel and different signal-to-noise ratios, and a better compromise is obtained among detection precision, robustness and calculation efficiency.

The invention relates to cybersecurity systems leveraging neuro-cognitive user profiling for real-time anomaly detection. It introduces a stealth-mode endpoint agent designed to collect encrypted micro-interaction telemetry—including cursor dynamics, typing cadence, window focus ETC—without significantly impacting system performance or requiring elevated privileges. Captured signals are transmitted to a centralized AI engine that constructs individualized behavioral baselines and detects deviations using adaptive learning algorithms. The system supports both agent-based and agentless deployments, enabling hybrid use in cloud, on-premise, and BYOD environments. Privacy compliance is addressed through local preprocessing and encryption, aligned with frameworks such as GDPR and HIPAA. The invention is designed to improve behavioral anomaly detection while minimizing operational impact and supporting compatibility across enterprise environments.

The present invention relates to the field of radio communication technologies. Specifically, it is a method for identifying malicious users in cognitive radio based on graph neural networks. The graph neural network is introduced into the identification of malicious users in a centralized multi-user cognitive radio. First, the degree of abnormality of each cognitive user in the cognitive radio network is obtained through the graph neural network. Then, the fusion center combines the global decision and the degree of conflict between each cognitive user and its neighbor users to establish an abnormality model. The malicious user identification method of the present invention can solve the problem of misjudgment caused by malicious users launching Byzantine attacks when judging the presence of primary users in cognitive radio, and can avoid malicious users preempting the frequency bands of primary users, enabling the frequency spectrum to be used by normal users.

The invention relates to the technical field of cognitive radio, in particular to a self-adaptive perception threshold setting method and device based on main user power detection, and the method comprises the following steps: 1, calculating a high threshold and a low threshold of cognitive users SU, sending a signal-to-noise ratio of a received signal to a fusion center by each SU, and calculating a weighting factor of each user, each SU adaptively adjusts a decision threshold according to the weighting factor; 2, the SU compares the current energy with a decision threshold value, if the current energy is larger than a high threshold value, it is judged that a primary user PU exists, and if the current energy is between the high threshold value and a low threshold value, the average value of the historical energy queue is taken as the current energy, and the next round of detection is started; 3, if the average value of the historical energy is between the high threshold value and the low threshold value, calculating a single threshold value; and step 4, determining that the PU exists as long as one cognitive node detects the signal. According to the method, the processing efficiency of the algorithm is improved, and the detection performance of energy detection can be remarkably improved.

The present invention discloses a method for cognitive user adaptive access in a transmission deadline communication scenario. In this solution, cognitive users can independently observe the channel to obtain the latest estimate of the number of active cognitive users in the current time slot. When the licensed user does not occupy the channel, the cognitive user determines the access probability that maximizes the current expected reward under the multi-packet reception mechanism according to the confidence state distribution of the number of active cognitive users obtained from the network observation. For cognitive users, the packet arrival probability conforms to the binomial distribution and has a strict transmission deadline. The system uses an acknowledgment and retransmission mechanism, and the receiver has the multi-packet reception ability (i.e., can successfully receive multiple packets simultaneously). A method for cognitive user adaptive access in a transmission deadline communication scenario also gives the access probability calculation method, which can make the network reliability close to the theoretical optimal reliability while ensuring a low computational complexity.

This invention proposes a spectrum switching method for cognitive radio networks that comprehensively considers information age and energy consumption. The method is applicable to narrowband sensing cognitive radio networks with preset information age and energy consumption weight parameters. N The method consists of one authorized user and one cognitive user, with each authorized user assigned an authorized channel. Based on the relative value iterative algorithm theory, a spectrum switching strategy related to information age and energy consumption weight parameters is designed. The effectiveness of the method is ensured by constructing a value function and a relative value function that reflect the influence of the weight parameters and proving the convergence of the functions. Then, the convergence value and threshold structure of the proposed strategy are obtained through iterative calculation. Specifically, at the beginning of each time slot, the cognitive user updates its state based on the switching and transmission decisions of the previous time slot. Based on Bayesian theory, it estimates the occupancy status of each channel using the obtained local known information and channel information. Then, by comparing the expected information age and energy consumption cost of all channels, it determines the channel selected for the current time slot and decides whether to transmit data packets based on the channel perception results.

The embodiment of the invention provides a TDCS anti-interference communication system and method based on TDMA, and relates to the technical field of wireless communication, and the communication system comprises a comprehensive application layer, a data link layer, a physical layer and a perception decision module. The comprehensive application layer is connected with the data link layer, the data link layer is connected with the physical layer, and the perception decision module is respectively connected with the comprehensive application layer, the data link layer and the physical layer. According to the technical scheme provided by the invention, in combination with the characteristic that the communication parameters are flexibly adjusted according to the channel state by the TDCS, the communication and sensing time slots of the cognitive users in the network are coordinated by utilizing the thought of time division multiplexing (TDMA), the working state of the network is dynamically adjusted, and stable multi-user anti-interference communication in a complex radio frequency environment is realized.