53 results about "Network information flow" patented technology

Errant conditions, including configuration issues, device/application failures, and performance problems, affecting a home network are detected by considering end-to-end information flows within the home network and between the home network and an external network. Specifically, errant conditions are detected by analyzing monitored network information flows, by analyzing responses resulting from the active stimuli of hardware/software components within the home and external network, and by considering in this analysis configuration information obtained from network devices. Gathered information and detected errant conditions are reported to an administrative management system for further analysis and for use by a help-desk administrator or home user in resolving the reported conditions.

A single-usage network tap monitors network information flow over a particular connection. Instead of requiring a tap for each analytical device, by incorporating elements that regenerate, spread, and coordinate the timing of the signal, multiple, simultaneous, and parallel analytical devices can monitor a particular network connection through one tap, It incorporates four amplifiers preferably manufactured on the same IC die with high-impedance input terminals connected directly to the two conductors of a gigabit Ethernet local area network digital transmission line so as not to load or otherwise upset its impedance or other parameters. The output terminals of the operational amplifiers are connected to and match the input impedance of the digital transmission protocol Gigabit analyzer. The gain of the operational amplifiers is arranged so as to replicate at the input of the analyzer the signals appearing on the Gigabit local area network transmission line with uninterruptible power supply.

The invention provides a method for predicting social network information popularity on the basis of user characteristics. The method includes the steps of obtaining user data and information data in a social network, extracting part of user attribute characteristics and user behavior characteristics from the user data, classifying the user data according to the user attribute characteristics and the user behavior characteristics, obtaining user broadcasting characteristics corresponding to the information data according to the information data and the classification of a user, obtaining a social network information popularity prediction model according to the user broadcasting characteristics, and predicting the information popularity through the prediction model. The invention provides a system for predicting the social network information popularity on the basis of user characteristics. The system comprises an obtaining module, a characteristic obtaining module, a classification module, a processing module, a prediction model module and a prediction model. Through the combination with the features of user behavior characteristics, information propagation of the social network is more accurately predicted, and the problems that hot spot finding lags and the real-time performance of information pushing and online public opinion monitoring can be hardly ensured are solved.

The invention belongs to the technical field of transformer substation network intrusion detection, and particularly relates to an intelligent transformer substation network intrusion detection systemand method based on deep learning. The system is used for intrusion detection aiming at network attacks of an IEC61850 communication protocol of an intelligent substation. The system comprises a datacollection module, a feature extraction module, a behavior analysis module and a defense behavior trigger module which are sequentially connected, wherein the data collection module is connected to an intelligent substation network to collect data, the defense behavior trigger module is connected to the intelligent substation network, the network information flow based on the IEC61850 protocol inthe intelligent substation is collected and analyzed in real time, and abnormal communication behaviors are detected and alarmed in real time.

The invention provides a Power VM virtualized network management method and device based on Open Stack. The method comprises the following steps: acquiring original network information transmitted from a Power VM node managed by Open Stack through a first physical internet access, wherein the original network information comprises protocol information and identification; enabling the original network information to flow into a virtual integrated network bridge through a virtual secondary network card according to the identification; enabling the original network information to flow into a virtual tunnel network bridge through the virtual integrated network bridge according to preset flow table; carrying out protocol conversion on the original network information according to the protocol information and a preset protocol conversion package, and acquiring tunnel network information, and the protocol of the tunnel network information is a tunnel protocol; and enabling the tunnel network information to flow into a second physical internet access through the virtual tunnel network bridge, and enabling the tunnel network information to flow into an external tunnel network through the second physical internet access. By a mode of deploying a virtual machine, flowing-in and protocol conversion of a Power VM network are finished, and Power VM virtualized network management based on Open Stack is finished.

The invention belongs to the field of data collection and analysis excavation, and especially relates to an information network security posture sensing early-warning method based on big data. The early-warning method comprises a data collecting module and a data analysis module; the data collecting module collects logo, network information flow and IDS data, and sends the logo, network information flow and IDS data to the data analysis module; the data analysis module can perform early-warning analysis on the logo, network information flow and IDS data. The information network security posture sensing early-warning method can uniformly collect and store data, uniformly analyze the network running posture, and greatly promotes the intelligent network operation and maintenance construction;the early-warning method can analyze suspicious acts by combining with log data, network information flow and IDS data, and realizes the advanced warning and analysis. The information network security posture sensing early-warning method can timely find out and exactly determine safety hidden troubles in the network device and the terminal device, and position and improve the weak link of the information network safety.

Access is obtained to a plurality of information flow theories for a plurality of malicious programs. The information flow theories include differences in information flows between the malicious programs, executing in a controlled environment, and information flows of known benign programs. Execution of a suspicious program is monitored by comparing runtime behavior of the suspicious program to the plurality of information flow theories. An alarm is output if the runtime behavior of the suspicious program matches at least one of the plurality of information flow theories.

The invention relates to a technology of dynamic strategy supply. A network security device comprises a memory, used for storing a first strategy and a second strategy of a first group mode corresponding to a first group network attack; and a control unit, used for applying the first strategy to network traffic to detect the first group network attack. When the first strategy is used, the control unit monitors parameters corresponding to one or more resources, and dynamically determines whether the second strategy is applied to network traffic based on the parameters. Thus, the control unit applies the second strategy to network traffic to detect a second group network attack, and transmits network traffic according to application of the second strategy. By this way, the network security device can realize the dynamic strategy supply technology.

The present invention discloses a composite rule set matching method and system. The method comprises: using a multimode matching algorithm to process an original text obtained from a network information stream, to obtain a feature string in the original text; replacing the feature string with an identity identification number ID that is in a pre-constructed feature string rule set, and presenting the ID, with replaces the feature string, in hexadecimal; inputting the ID in hexadecimal in sequence to an automaton pre-constructed by using a pre-constructed regular expression set; and according to a jump of the automaton, obtaining a matching result between the ID and the automaton, wherein the pre-constructed feature string rule set is constructed in accordance with a preset composite rule set, and the pre-constructed regular expression set is constructed in accordance with the pre-constructed feature string. The scheme of the present invention can weaken independency between rules, reduce the number of times of repeated reading of text information and improve an actual matching speed.

The invention provides a system for calculating and evaluating the information flow of a communication network of an intelligent substation. The system comprises an SCD (Security Coding Device) analyzing module, a message length calculating module, a steady flow calculating module, a non-steady flow calculating module, a calculating result output module and other modules, an SCD analyzing database, a data type database and a fault database, wherein the SCD analyzing module externally receives an SCD message, is externally connected with an SCD analyzing sub database, and outputs the SCD message to the message length calculating module externally connected with the data type database, the steady flow calculating module and the non-steady flow calculating module respectively receive the outputs of the message length calculating module, the outputs are converged at the calculating result output module, and the non-steady flow calculating module also simultaneously receives the output of the steady flow calculating module and is externally connected with the fault database. The invention also relates to a method for calculating and evaluating the information flow of the communication network of the intelligent substation for the system. According to the system and the method, the design basis is provided for a designer in the design process of the communication network, and the enough predictability is provided for the designer and line personnel.

The invention discloses a botnet network discovery technology which comprises the following steps of: capturing network information traffic and generating traffic data; according to network segment information and VLAN (Virtual Local Area Network) partitioning information of an IP (Internet Protocol) address in the generated network data and behavior analysis of related data, partitioning a network device into a corresponding network organizational chart, and according to the network organizational chart, generating a network traffic model graph; according to the network traffic model graph and an access behavior of a device, carrying out comparison; and moreover, according to a comparison condition, judging a suspicious access source. The botnet network discovery technology has the beneficial effects that: a data traffic model is generated by capturing network information; moreover, traffic comparison is carried out by utilizing device information accessed by the data traffic model so as to judge safety of the access device; the related suspicious access source of the suspicious access device can be found; and use safety of the network device is ensured.

The present invention relates to methods and systems for transmitting information over different information networks and in particular to a method for transmitting information in an integrated telecommunications and broadcast system. The method for transmitting information across the integrated telecommunications and broadcast system incorporating a cellular network and a broadcast network with a plurality of broadcast content providers connectable to transmitter/receiver equipment installed at least one base station of the cellular network, consists of broadcast content generation by broadcast content providers, connecting the broadcast content providers to an internal IP network for broadcast program distribution, transfer of the broadcast content from the broadcast content providers by means of the internal IP network via communication links and line transmission equipment of the cellular network, transmission of cellular network information over the communication links and line transmission equipment of the cellular network, generation of a combined information stream of the broadcast content information and information of the cellular network for its transmission to at least one base station of the cellular network, separation of independent streams—the cellular network information stream and the broadcast network information stream from said combined stream, and transmission of the separated independent information streams to the above-mentioned transmitter/receiver equipment for their further transmission over appropriate independent channels to subscribers of the integrated telecommunications and broadcast system, located within the coverage area of the integrated system.

A network information circulating method comprises a user identification step, a web-page space providing step, a web page content displaying step, a web page content evaluation step, a sale step, and a profit feedback step, thereby, the web page space is provided to recommended users; through a page content editing step and a version selection step of the web content display steps, the convenience of page editing and overall aesthetics can be increased; through user evaluations on the displayed page content for recommended users, hot goods for sales can be formed; and the return of merchandise sales profits to the recommended users can enhance the sales of goods, turnover rate and the willingness to recommend.

The invention discloses a network key point analysis method based on single-layer information flow transmission, and the method comprises the steps: obtaining network data based on a graph structure,and constructing a single-layer information flow transmission network according to the network data; preprocessing the single-layer information flow transmission network, and establishing an optimization objective function based on a network attacker and a network operator; constructing a game model according to the optimization objective functions of the network attacker and the network operator;establishing a single-layer network information flow blocking model from the perspective of the network attacker, and blocking nodes are determined as network key points. According to the invention,two concepts of a network attacker and a network operator are introduced to describe the problem of network security from different perspectives and construct a game model; and meanwhile, the targetsof the network attacker and the network operator are clearly described and are classified into the same model, so that a single-layer network information flow blocking model is established, and key nodes of the network are discovered while a blocking scheme is solved from the perspective of the attacker.

The invention discloses a request processing method, device and equipment and a storage medium, and relates to the field of cloud platforms, computer networks and information flows. The specific implementation scheme comprises the following steps: acquiring to-be-evaluated data of each node in a network; according to the to-be-evaluated data, a first preset threshold set, a preset weight set and asecond preset threshold, determining whether nodes with abnormal states exist in the nodes or not; and in response to the fact that the node with the abnormal state exists in the nodes, sending a request sent to the node with the abnormal state to the node with the normal state in the nodes for processing. According to the implementation mode, the state abnormal condition of the node can be accurately evaluated, the request sent to the node with the abnormal state is sent to the node with the normal state in time, and the risk that the user request cannot be processed is avoided.

The invention discloses a pushing method and device for a deliverable entity. The method comprises the steps that feature attribute information of the deliverable entity is acquired; wherein the deliverable entity can be used for displaying promotion information; content attribute information of the predetermined information flow is obtained; the feature attribute information of the deliverable entity is matched with the content attribute information of the predetermined information flow, and a to-be-pushed entity corresponding to the predetermined information flow is obtained from the deliverable entity according to a matching result; and when the predetermined information flow is in the output state, the push information of the to-be-pushed entity is output on an output page of the predetermined information flow. By using the method, the user can browse the network information flow, the deliverable entity which is related to the network information flow and displays the promotion information is acquired, the relevance between the network information flow and the user is improved, the user experience is improved, the personalized push of the deliverable entity is realized, and theeffective release of the promotion information is realized while the output value and the browsability of the network information flow are enhanced.