13 results about "Campus network" patented technology

This invention proposes a multi-energy coordinated regulation method and system for a comprehensive energy system in a park, relating to the field of energy management technology. It includes: constructing energy autonomous units and local energy balance equations, energy storage state update equations, and equipment power and energy boundary constraints; solving for the elastic net exchange power range of each autonomous unit under uncertain scenarios based on the equations and constraints, symmetrically shrinking the range and reporting it to the elastic coalition scheduling layer; constructing a clearing model at the elastic coalition scheduling layer based on the reported information, solving for the target net exchange power, reserve capacity allocation, and park network energy flow of each autonomous unit; distributing the solution results to the autonomous units, which then adjust equipment output according to priority and track it in real time; monitoring equipment status and renewable energy output deviations, triggering emergency degradation control when equipment failure or deviation exceeding a threshold is detected, reconstructing the model, and introducing a graded load reduction mechanism, thereby improving the stability, reliability, and regulation accuracy of the system operation.

The present application relates to a kind of two-stage park network SSH reverse tunnel detection method and system, its method includes: S1: the original traffic collected is divided according to four tuples: {source ip, destination ip, source port number, destination port number}, and the original traffic with same four tuples is regarded as a flow;S2: one-stage SSH reverse tunnel detection based on rule matching, whether the flow contains SSH reverse tunnel is detected;S3: two-stage SSH reverse tunnel detection based on deep learning, after the flow is imaged, classification task is carried out using trained CNN model, whether the flow contains SSH reverse tunnel is judged;S4: the condition of flow containing SSH reverse tunnel obtained in step S2 and S3 is summarized, and detection result is output.The method provided by the present application can quickly and accurately detect the SSH reverse tunnel existing in park network.

The application discloses a privacy-enhanced campus network psychological data federated learning analysis method, and belongs to the field of network behavior data collection and privacy protection calculation. The method comprises the following steps: performing field white list projection, sensitive domain hard discarding, pseudo-anonymization and irreversible digest processing, and binning on each original network session collected in the campus network respectively to obtain a plurality of minimized event streams; performing semantic classification and feature extraction on each minimized event stream respectively to obtain a plurality of window statistical features; training a mental health assessment model based on the plurality of window statistical features, and generating a to-be-protected upload object of the i th round; and performing privacy protection processing on the to-be-protected upload object of the i th round to obtain a protected upload object of the i th round. The application can realize risk analysis and controlled uploading without outputting content load, reduce the risk of data leakage, and improve compliance controllability and credibility.

A software-defined network (SDN) controller in a campus network environment for a dynamic virtual local area network (VLAN) is provided. The SDN controller may comprise: a transceiver including a communication circuit; a processor including a processing circuit; and a memory including a storage medium in which instructions are stored, wherein, when executed by the processor, the instructions can instruct the SDN controller to: receive, from an SDN switch, through the transceiver, an authentication request for a terminal connected to the SDN switch; respond to the success of authentication of the terminal in response to the authentication request; identify a VLAN; and transmit a VLAN configuration to the SDN switch through the at least one transceiver such that an uplink port of the SDN switch operates according to the VLAN corresponding to the terminal. The uplink port of the SDN switch can be used to connect with other SDN switches, routers or servers. The VLAN configuration can be used to configure the uplink port so that an Ethernet frame for the VLAN corresponding to the terminal passes therethrough.

The specification provides a method and network device for dialing into a network, the method comprising: receiving a dial request sent by a user in a campus, and obtaining user key information from the dial request; initiating a dial request to an operator according to the dial request; receiving a dial result fed back by the operator according to the dial request; establishing a dial table item according to the user key information and the dial result; and managing the user to access the campus network and / or the operator network according to the dial table item. Through the method, the problem that the user cannot access the campus network in the case that the dial authentication fails due to the operator's arrears or other reasons in the scenario that the campus network BRAS serves as a dial device is solved.

Various embodiments of the teachings herein include a radio communication apparatus providing a locally defined campus network for an industrial environment. An example includes: a mobile entity with a radio unit to operate a radio frontend maintaining the campus network; and a plurality of network function nodes assigned to a shared infrastructure edge cloud, the mobile entity contributing computational resources for at least one of said plurality of network function nodes. The plurality of network function nodes includes a trajectory node to collect and track trajectory data of the mobile entity and a localizer node to use the trajectory data to identify locations to be covered by the locally defined campus network.

Embodiments propose ways to establish communication links between application endpoints in a production unit and on user equipment associated with a wireless 5G industrial park network or a wireless network of descendants. Thus, time determinism and / or time sensitive quality of service can be supported on user equipment connected by a 5G system and can be provided within a production unit. Embodiments propose to place virtualized CU and DU software components to an industrial edge cloud system or to define industrial radio unit or RU components featuring local data offloading of production unit data traffic that complies with time determinism and / or time sensitive quality of service requirements of the production unit data traffic.

The disclosed embodiments relate to a method for establishing a collaboration of industrial units communicatively coupled within a wireless campus network. The disclosed embodiments define a way of using sub-networks that enables future 5G networks for the purpose of industrial collaboration. The disclosed use of sub-networks can support industrial units or cyber-physical systems equipped with actuators for enabling a physical repositioning of the industrial units. The disclosed embodiments suggest mapping a sub-network to a task jointly performed by two or more industrial units, which uses local connectivity to exchange task-related data among the industrial units in order to save global communication resources in the umbrella network. The disclosed embodiments suggest anchoring task-related data to a sub-network in a distributed or locally centralized manner and / or anchoring task-related data to a location in the physical space, for which the possibility that the node(s) or participants holding the task-related data and / or other data can also leave that location, whereby the task-related data is handed over to other nodes, industrial units or participants in the vicinity.

The application provides a network attack flow data set generation method, system, medium and equipment, comprising the following steps: step 1: setting the network flow collected from a real campus network as background flow, and setting the APT attack flow simulated through a Caldera simulation as attack flow, and recording attack time and attack mode; step 2: recording the start time of each attack step, and constructing a timestamp sequence; step 3: extracting the start and end time from the background flow, fusing the attack flow into the background flow according to a preset rule, and obtaining a network attack flow data set; and step 4: generating malicious flow samples that deceive and escape the detection of a defense system based on the network attack flow data set. The application can fuse real network flow and simulated attack flow, thereby obtaining a high-quality network flow data set mixed with attack flow, and providing a data generation scheme for research directions such as APT attack that are difficult to obtain real data.

The present disclosure relates to the technical field of campus local area networks (LANs), and particularly discloses a method and system for implementing multi-service bearer in a passive optical LAN (POL). The method includes: step S1: constructing a POL, and accessing an entire campus network at a bandwidth of Gigabit according to a point-to-multipoint star topology including three layers: a core layer, a convergence layer, and an access layer, to form a 10 Gbit backbone, wherein an optical network terminal enters a room and is deployed according to such a manner that one classroom or functional room has one terminal mode; step S2: planning and managing the entire POL, defining a plurality of LANs through software definition (SD-LAN), wherein different LANs bear different services; and step S3: allocating different service bandwidths to different LANs through a sharding mechanism of the PON, and the like.

The present application relates to the technical field of electrical control and image processing, and particularly relates to a classroom electrical appliance energy-saving control device based on video image detection, which comprises a classroom monitoring server, an energy-saving control terminal and a campus network. The classroom monitoring server acquires classroom monitoring images, processes the images and judges whether there is anyone in the classroom. The energy-saving control terminal communicates with the classroom monitoring server, and after receiving a control instruction, the energy-saving control terminal adjusts the current in the electrical circuit to make the air switch reach the overcurrent action condition, and triggers the air switch to be turned off. The campus network is used for realizing data transmission between the classroom monitoring server and the energy-saving control terminal, and connecting classroom monitoring camera equipment. The present application realizes automatic energy-saving control of classroom electrical appliance equipment; without additional human body detection hardware, the system deployment cost is reduced; meanwhile, the original use mode and safety characteristics of the electrical system are maintained, the randomness of classroom use is adapted to, and energy waste is reduced.

This invention relates to the fields of educational informatization and big data analysis technology, and discloses a student comprehensive quality data management system based on behavior analysis, including the following steps: accessing the campus network and business logs; establishing a dynamic session index using authentication and accounting messages; parsing randomized terminal addresses and reconstructing real-name trajectories; integrating multi-source heterogeneous data; eliminating mandatory location data based on group occupancy entropy; constructing a community manifold reflecting autonomous social relationships; calculating the spatiotemporal entropy of individual behavior; and generating a denoised relative deviation by combining the dynamic baseline entropy of the community manifold; using data confidence factors to perform circuit breaking verification on the deviation results; and outputting a behavior stability index. This invention can solve the trajectory breakage problem caused by mobile terminal privacy protection, eliminate the interference of the external macro environment on behavior assessment, and, combined with data saturation judgment, effectively avoid statistical false alarms in sparse sample scenarios, achieving accurate quantification and dynamic monitoring of student behavior patterns.