CN108696515A - Network security situation sensing system based on big data - Google Patents
Network security situation sensing system based on big data Download PDFInfo
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- CN108696515A CN108696515A CN201810404243.XA CN201810404243A CN108696515A CN 108696515 A CN108696515 A CN 108696515A CN 201810404243 A CN201810404243 A CN 201810404243A CN 108696515 A CN108696515 A CN 108696515A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1433—Vulnerability analysis
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/12—Discovery or management of network topologies
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/147—Network analysis or design for predicting network behaviour
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/04—Processing captured monitoring data, e.g. for logfile generation
- H04L43/045—Processing captured monitoring data, e.g. for logfile generation for graphical visualisation of monitoring data
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/12—Applying verification of the received information
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
Abstract
The present invention provides the network security situation sensing systems based on big data, including:Data collection delivery module, for obtaining network essential information from network by wireless sensor network;Network safety situation big data analysis module includes:Data pre-processing unit obtains the network essential information of standardization format for being pre-processed the network essential information of reception;Networks security situation assessment unit carries out quantitative analysis, and then realize the analysis to current network safety situation for the network essential information using standardization to the menace, fragility and stability of network;Network safety situation predicting unit, for being predicted network safety situation according to the historical information and current state of the network safety situation;Network Situation display unit is used for the analysis according to network safety situation and prediction result, and carrying out visualization to network security index shows.
Description
Technical field
The present invention relates to field of information security technology, and in particular to the network security situation sensing system based on big data.
Background technology
Existing network security situation sensing system has the following disadvantages:
(1) lack the verification of data validity:The data directly acquired from network may be to be missed by Network Security Device
Report generate, to such data be processed acquirement as a result, accuracy value must discuss;
(2) lack data correlation:Existing network security situation sensing system tends to obtain multi-source data information, but lacks
The analysis of the weary relevance between data information;
(3) lack quantitative analysis:Network security assessment at present is generally used qualitatively or the mode of grade separation is retouched
The safe condition of network is stated, more accurate, consistent with international standard quantitative analysis is lacked.
Invention content
In view of the above-mentioned problems, the present invention provides the network security situation sensing system based on big data.
The purpose of the present invention is realized using following technical scheme:
The network security situation sensing system based on big data is provided, including:
Data collection delivery module obtains network essential information from network for passing through wireless sensor network and transmits
To network safety situation big data analysis module, network essential information includes for perceiving the information of threat situation, networks vulnerable
Property information, the network traffic information for describing network stabilization;
Network safety situation big data analysis module includes data pre-processing unit, networks security situation assessment unit, net
Network security postures predicting unit and Network Situation display unit;Data pre-processing unit is for foundation and network in its database
The relevant dictionary of essential information, it is for statistical analysis to the network essential information of data collection delivery module transmission, removal repetition,
Error items change nonconformance, and the data after statistical analysis are then associated analysis with data dictionary, obtain standardization lattice
The network essential information of formula;Networks security situation assessment unit connects the data pre-processing unit, for utilizing standardization
Network essential information carries out quantitative analysis to the menace, fragility and stability of network, and then realizes and pacify to current network
The analysis of full situation;Network safety situation predicting unit connects the networks security situation assessment unit, for according to the net
The historical information and current state of network security postures predict network safety situation;Network Situation display unit connects institute
State networks security situation assessment unit, the network safety situation predicting unit, for according to the analysis of network safety situation and
Prediction result carries out visualization to network security index and shows.
Further, network security situation sensing system further includes:
Data memory module connects the network safety situation big data analysis module, for database purchase institute to be arranged
It states the network essential information of standardization, carry out data information, the progress Network Situation needed for network safety situation analysis and prediction
Data information needed for visualization display.
Preferably, the networks security situation assessment unit includes:
Menace Situation Assessment subelement, for believing the information for perceiving threat situation with network vulnerability
Breath, network topological information carry out data correlation, obtain the menace situation of network;
Fragility Situation Assessment subelement, for the network vulnerability information is related to general loophole points-scoring system
Connection, obtains the fragility situation of network;
Stability Situation Assessment subelement, the stability situation for obtaining network based on the network traffic information;
Situation total evaluation subelement, connect the threat situation evaluation module, the fragility Situation Assessment subelement,
The stability Situation Assessment subelement, for according to the menace situation, the fragility situation, the stable condition
Gesture obtains the general safety situation value of network.
Preferably, network safety situation is carried out according to the historical information of the network safety situation and current state pre-
It surveys, specifically includes:Divided using Time series analysis method according to the historical information and current state of the network safety situation
Network safety situation changing rule is analysed, provides situation change curve, prediction a certain moment network safety situation value in future, and give
Go out to predict error.
Beneficial effects of the present invention are:Network essential information is obtained by wireless sensor network, intelligent quick passes through number
Data preprocess unit carries out specification to the network essential information that wireless sensor network obtains, and by the way that network security state is arranged
Gesture assessment unit realize Cyberthreat information and network topological information be associated with and menace information and vulnerability information
Association, overcome existing Network Situation Awareness System and lack Validation of Data, data correlation and quantitative analysis are asked
Topic, so that network security situation awareness is more accurate.
Description of the drawings
Using attached drawing, the invention will be further described, but the embodiment in attached drawing does not constitute any limit to the present invention
System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings
Other attached drawings.
Fig. 1 is the system structure connection block diagram of an illustrative embodiment of the invention;
Fig. 2 is the structure connection frame of the network safety situation big data analysis module of an illustrative embodiment of the invention
Figure;
Fig. 3 is the structure connection block diagram of the networks security situation assessment unit of an illustrative embodiment of the invention.
Reference numeral:
Data collection delivery module 1, network safety situation big data analysis module 2, data memory module 3, data are located in advance
Manage unit 4, networks security situation assessment unit 5, network safety situation predicting unit 6, Network Situation display unit 7, menace
Situation Assessment subelement 10, fragility Situation Assessment subelement 20, stability Situation Assessment subelement 30, situation total evaluation
Unit 40.
Specific implementation mode
The invention will be further described with the following Examples.
Referring to Fig. 1, Fig. 2, the network security situation sensing system based on big data is present embodiments provided, including:
Data collection delivery module 1 obtains network essential information from network for passing through wireless sensor network and passes
Network safety situation big data analysis module 2 is transported to, network essential information includes crisp for perceiving the information of threat situation, network
Weak property information, the network traffic information for describing network stabilization;
Network safety situation big data analysis module 2, including data pre-processing unit 4, networks security situation assessment unit
5, network safety situation predicting unit 6 and Network Situation display unit 7;
Wherein, data pre-processing unit for establishing and the relevant dictionary of network essential information, logarithm in its database
According to collecting, the network essential information that delivery module 1 transmits is for statistical analysis, and removal repetition, error items are changed nonconformance, connect
It and the data after statistical analysis is associated analysis with data dictionary, obtain the network essential information of standardization format;Network
Safety situation evaluation unit 5 connects the data pre-processing unit 4, for the network essential information using standardization, to network
Menace, fragility and stability carries out quantitative analysis, and then realizes the analysis to current network safety situation;Network is pacified
Full Tendency Prediction unit 6, connects the networks security situation assessment unit 5, for the history according to the network safety situation
Information and current state predict network safety situation;Network Situation display unit 7 connects the network safety situation and comments
Estimate unit 5, the network safety situation predicting unit 6, the analysis according to network safety situation and prediction result is used for, to network
Safety index carries out visualization and shows.
Further, network security situation sensing system further includes:
Data memory module 3 connects the network safety situation big data analysis module 2, for database purchase to be arranged
The network essential information of the standardization carries out network safety situation analysis and predicts required data information, carries out network state
Data information needed for gesture visualization display.
In one embodiment, as shown in figure 3, networks security situation assessment unit 5 includes:
Menace Situation Assessment subelement 10, for believing the information for perceiving threat situation with network vulnerability
Breath, network topological information carry out data correlation, obtain the menace situation of network;
Fragility Situation Assessment subelement 20, for the network vulnerability information is related to general loophole points-scoring system
Connection, obtains the fragility situation of network;
Stability Situation Assessment subelement 30, the stability situation for obtaining network based on the network traffic information;
It is single to connect the threat situation evaluation module, fragility Situation Assessment for situation total evaluation subelement 40
Member 20, the stability Situation Assessment subelement 30, for according to the menace situation, the fragility situation, described steady
Qualitative situation obtains the general safety situation value of network.
Wherein, network safety situation is predicted according to the historical information of the network safety situation and current state,
It specifically includes:Net is analyzed using Time series analysis method according to the historical information and current state of the network safety situation
Network security postures changing rule provides situation change curve, prediction a certain moment network safety situation value in future, and provides pre-
Survey error.
The above embodiment of the present invention obtains network essential information by wireless sensor network, and intelligent quick passes through data
Pretreatment unit 4 carries out specification to the network essential information that wireless sensor network obtains, and by the way that network security state is arranged
Gesture assessment unit 5 realize Cyberthreat information and network topological information be associated with and menace information and fragility are believed
The association of breath overcomes existing Network Situation Awareness System and lacks Validation of Data, data correlation and quantitative analysis
Problem, so that network security situation awareness is more accurate.
In one embodiment, data collection delivery module 1 includes base station and multiple sensor nodes, and sensor node is used
In acquisition network essential information and it is sent to base station, the network essential information that base station convergence receives from sensor node, and will
The network essential information of convergence is sent to data pre-processing unit.
Wherein, when netinit, base station builds message to all the sensors node broadcasts neighboring node list, receives this
After neighboring node list builds message, sensor node obtains information of neighbor nodes by information exchange, and builds neighbor node
List.
In one embodiment, sensor node and base station be single-hop apart from when, sensor node is directly by the net of acquisition
Network essential information is sent to base station;Sensor node and base station be multi-hop apart from when, sensor node is according to the routing plan of setting
Acquired network essential information is slightly sent to base station.
Wherein, the routing policy of the setting specifically includes:
(1) sensor node is included into spare forwarding section using the neighbor node for meeting following condition as spare forward node
In point set:
In formula, bjIt is consumed by the network essential information packet service that the neighbor node j of sensor node i is setting quantity N
Bandwidth, BjFor the current residual bandwidth of neighbor node j, cjIt is the network essential information packet clothes for setting quantity N for neighbor node j
The consumed caching of business, CjIt is cached for the current residual of neighbor node j, λ1,λ2For the weight coefficient of setting, sensor section is indicated
The proportion to being obtained shared by resource service condition is put, and meets λ1+λ2=1;di,oFor the distance of sensor node i to base station, dj,oFor
Neighbor node j is to the distance of base station, f (di,o,dj,o) it is the value function set, work as di,o-dj,o>When 0, f (di,o,dj,o)=1,
Work as di,o-dj,oWhen≤0, f (di,o,dj,o)=0, Δ T are the threshold value of setting, the lower limit for indicating transfer capability, value range
For (0,1);
(2) sensor node is selected multiple based on the network essential information packet to be forwarded in spare forward node set
Sensor node is distributed to each next-hop as next-hop, by network essential information packet.
The present embodiment innovatively proposes the selection mechanism of spare forward node set, can be made by mechanism selection
For the spare forward node of next-hop, can Logistics networks essential information can be transmitted to base station direction, and ensure spare turn
Sending out node, there is enough resources to carry out the forwarding of network essential information, avoid causing to lose because of sensor node inadequate resource
The problem of packet, to the reliability of Logistics networks essential information relay transmission.
Since the resource of sensor node is consuming and changing always, setting sensor node regularly updates the spare of oneself
Forward node set.
In one embodiment, specific to execute when sensor node selection next-hop:
(1) sensor node receives data to each spare forward node transmission data forwarding request, spare forward node
The priority of itself is calculated after forwarding request and the precedence information of oneself is fed back to the sensor node of upper hop, sensor
Node receives after the precedence information that spare forward node is fed back to the spare forward node in spare forward node set
According to priority sequence from big to small is ranked up, and obtains forwarding priority list, set the calculation formula of priority as:
In formula, Yi,αFor the priority value of spare forward node α in the spare forward node set of sensor node i, bαFor
Spare forward node α services institute to set the network essential information packet of quantity N in the spare forward node set of sensor node i
The bandwidth of consumption, BαFor the current residual bandwidth of spare forward node α, cαIt is the network for setting quantity N for spare forward node α
The caching that essential information packet service is consumed, CαIt is cached for the current residual of spare forward node α, bβFor the standby of sensor node i
It is the bandwidth for setting the network essential information packet service of quantity N and being consumed with β in forward node set spare forward node,
BβFor the current residual bandwidth of the β spare forward node, cβIt is setting quantity N for the β spare forward node
The caching that network essential information packet service is consumed, CβFor the current residual caching of the β spare forward node;
In formula, λ1,λ2For the weight coefficient of setting, indicate sensor node to shared by resource service condition proportion, and
Meet λ1+λ2=1;
In formula, di,αFor the distance of spare forward node α in sensor node i to its spare forward node set, dα,oFor
Spare forward node α is to the distance of base station, di,oFor the distance of sensor node i to base station, di,βIt is sensor node i to described
The distance of β spare forward node, dβ,oFor the β spare forward node to the distance of base station, diFor sensor node
The communication distance of i;
(2) if the quantity M of the sensor node network essential information packet to be forwarded is less than the setting quantity N, sensor
Node selects first spare forward node as next-hop in forwarding priority list;If the sensor node net to be forwarded
The quantity M of network essential information packetiMore than or equal to the setting quantity N, sensor node selects in forwarding priority list
BeforeFor a spare forward node as next-hop, int is bracket function.
The present embodiment innovatively sets the calculation formula of the priority of spare forward node so that sensor node energy
The forwarding priority list of spare forward node is accessed, sensor selects forwarding priority to arrange in spare forward node set
The spare forward node of priority ranking earlier above is as next-hop in table, be conducive to take the lead in it is more sufficient using resource, with away from
Spare forward node from advantage carries out the forwarding of network essential information packet, and the forwarding for network essential information packet provides preferably
Service quality, and network base is carried out based on the suitable number of spare forward node of the network essential information packet quantity to be forwarded selection
This packet forwards, and is beneficial to the load of balanced each spare forward node, saves network essential information on the whole and forwards energy consumption,
To effectively extend Network morals.
In one embodiment, before sensor node selects in forwarding priority listA spare forwarding
When node is as next-hop, the network essential information packet quantity for distributing to the 8th next-hop is:
In formula,The network essential information packet quantity of its a-th of next-hop, Y are distributed to for sensor node ii,aFor institute
State the priority value of a-th of next-hop, Yi,bBefore sensor node i selectionsB in a spare forward node
The priority value of a spare forward node, MiFor the quantity M of the sensor node i network essential information packets to be forwarded.
Before sensor node selects in forwarding priority list in the present embodimentA spare forward node is made
For next-hop when, corresponding network essential information packet quantity is carried out according to the preferential extreme value weight of selected spare forward node
Distribution is conducive to so that the more preceding spare forward node of priority value can handle more network essential information packet
It weighs the load of selected each spare forward node, balances Internet resources, to effectively extend Network morals, further
Improve the stability of network security situation sensing system operation.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected
The limitation of range is protected, although being explained in detail to the present invention with reference to preferred embodiment, those skilled in the art answer
Work as understanding, technical scheme of the present invention can be modified or replaced equivalently, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (8)
1. the network security situation sensing system based on big data, characterized in that including:
Data collection delivery module obtains network essential information from network for passing through wireless sensor network and is transmitted to net
Network security postures big data analysis module, network essential information include for perceiving the information of threat situation, network vulnerability letter
Breath, the network traffic information for describing network stabilization;
Network safety situation big data analysis module includes data pre-processing unit, networks security situation assessment unit, network peace
Full Tendency Prediction unit and Network Situation display unit;Data pre-processing unit is basic with network for establishing in its database
The relevant dictionary of information, removal repetition, mistake for statistical analysis to the network essential information of data collection delivery module transmission
, nonconformance is changed, the data after statistical analysis are then associated analysis with data dictionary, obtains standardization format
Network essential information;Networks security situation assessment unit connects the data pre-processing unit, for the network using standardization
Essential information carries out quantitative analysis to the menace, fragility and stability of network, and then realizes to current network security state
The analysis of gesture;Network safety situation predicting unit connects the networks security situation assessment unit, for being pacified according to the network
The historical information and current state of full situation predict network safety situation;Network Situation display unit connects the net
Network safety situation evaluation unit, the network safety situation predicting unit, for the analysis and prediction according to network safety situation
Show as a result, carrying out visualization to network security index.
2. the network security situation sensing system according to claim 1 based on big data, characterized in that further include:
Data memory module, connects the network safety situation big data analysis module, is advised described in database purchase for being arranged
The network essential information of generalized, the data information, the progress Network Situation that carry out needed for network safety situation analysis and prediction are visual
Change the data information needed for display.
3. the network security situation sensing system according to claim 1 based on big data, characterized in that the network peace
Situation Assessment unit includes entirely:
Menace Situation Assessment subelement, for by described for perceiving the information of threat situation and network vulnerability information, net
Network topology information carries out data correlation, obtains the menace situation of network;
Fragility Situation Assessment subelement is obtained for the network vulnerability information is associated with general loophole points-scoring system
Take the fragility situation of network;
Stability Situation Assessment subelement, the stability situation for obtaining network based on the network traffic information;
Situation total evaluation subelement connects the threat situation evaluation module, the fragility Situation Assessment subelement, described
Stability Situation Assessment subelement, for according to the menace situation, the fragility situation, the stability situation, obtaining
Take the general safety situation value of network.
4. the network security situation sensing system according to claim 1 based on big data, characterized in that according to the net
The historical information and current state of network security postures predict network safety situation, specifically include:Pacified according to the network
The historical information and current state of full situation are analyzed network safety situation changing rule, are provided using Time series analysis method
Situation change curve, prediction a certain moment network safety situation value in future, and provide prediction error.
5. according to network security situation sensing system of the claim 1-4 any one of them based on big data, characterized in that number
Include base station and multiple sensor nodes according to delivery module is collected, sensor node is for acquiring network essential information and being sent to
Base station, the network essential information that base station convergence receives from sensor node, and the network essential information of convergence is sent to number
Data preprocess unit;Sensor node and base station be single-hop apart from when, sensor node is directly by the network essential information of acquisition
It is sent to base station;Sensor node and base station be multi-hop apart from when, sensor node is sent out according to the routing policy of setting to base station
Send acquired network essential information.
6. the network security situation sensing system according to claim 5 based on big data, characterized in that the setting
Routing policy specifically includes:
(1) sensor node is included into spare forward node collection using the neighbor node for meeting following condition as spare forward node
In conjunction:
In formula, bjIt is the band for setting the network essential information packet service of quantity N and consuming by the neighbor node j of sensor node i
Width, BjFor the current residual bandwidth of neighbor node j, cjIt is the network essential information packet service institute for setting quantity N for neighbor node j
The caching of consumption, CjIt is cached for the current residual of neighbor node j, λ1,λ2For the weight coefficient of setting, sensor node pair is indicated
The shared proportion obtained of resource service condition, and meet λ1+λ2=1;di,oFor the distance of sensor node i to base station, dj,oFor neighbours
Node j is to the distance of base station, f (di,o,dj,o) it is the value function set, work as di,o-dj,o>When 0, f (di,o,dj,o)=1, when
di,o-dj,oWhen≤0, f (di,o,dj,o)=0, Δ T are the threshold value of setting, and the lower limit for indicating transfer capability, value range is
(0,1);
(2) sensor node selects multiple sensings based on the network essential information packet to be forwarded in spare forward node set
Device node is distributed to each next-hop as next-hop, by network essential information packet.
7. the network security situation sensing system according to claim 6 based on big data, characterized in that sensor node
It is specific to execute when selecting next-hop:
(1) sensor node receives data forwarding to each spare forward node transmission data forwarding request, spare forward node
The priority of itself is calculated after request and the precedence information of oneself is fed back to the sensor node of upper hop, sensor node
It receives after the precedence information that spare forward node is fed back to the spare forward node in spare forward node set by excellent
The sequence of first grade from big to small is ranked up, and obtains forwarding priority list, set the calculation formula of priority as:
In formula, Yi,αFor the priority value of spare forward node α in the spare forward node set of sensor node i, bαFor sensing
Spare forward node α is consumed to set the network essential information packet service of quantity N in the spare forward node set of device node i
Bandwidth, BαFor the current residual bandwidth of spare forward node α, cαFor spare forward node α be set quantity N network it is basic
The caching that packet service is consumed, CαIt is cached for the current residual of spare forward node α, bβIt is spare turn of sensor node i
The bandwidth that β spare forward node are consumed for the network essential information packet service of setting quantity N in hair node set, BβFor
The current residual bandwidth of the β spare forward node, cβIt is the net for setting quantity N for the β spare forward node
The caching that network essential information packet service is consumed, CβFor the current residual caching of the β spare forward node;
In formula, λ1,λ2For the weight coefficient of setting, indicate sensor node to shared by resource service condition proportion, and meet
λ1+λ2=1;
In formula, di,αFor the distance of spare forward node α in sensor node i to its spare forward node set, dα,oIt is spare
Forward node α is to the distance of base station, di,oFor the distance of sensor node i to base station, di,βFor sensor node i to the β
The distance of a spare forward node, dβ,oFor the β spare forward node to the distance of base station, diFor sensor node i's
Communication distance;
(2) if the quantity M of the sensor node network essential information packet to be forwarded is less than the setting quantity N, sensor node
Select first spare forward node as next-hop in forwarding priority list;If the sensor node network base to be forwarded
The quantity M of this packetiMore than or equal to the setting quantity N, before sensor node selects in forwarding priority listFor a spare forward node as next-hop, int is bracket function.
8. the network security situation sensing system according to claim 7 based on big data, characterized in that sensor node
Before being selected in forwarding priority listWhen a spare forward node is as next-hop, distribute to a-th it is next
The network essential information packet quantity of jump is:
In formula, θi,aThe network essential information packet quantity of its a-th of next-hop, Y are distributed to for sensor node ii,aFor a
The priority value of a next-hop, Yi,bBefore sensor node i selectionsIn a spare forward node b-th it is standby
With the priority value of forward node, MiFor the quantity M of the sensor node i network essential information packets to be forwarded.
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| CN109614181A (en) * | 2018-11-15 | 2019-04-12 | 中国科学院计算机网络信息中心 | Security postures methods of exhibiting, device and the storage medium of mobile terminal |
| CN109921933A (en) * | 2019-03-11 | 2019-06-21 | 北京天融信网络安全技术有限公司 | A kind of information processing method and Network Security Device |
| CN110213108A (en) * | 2019-06-11 | 2019-09-06 | 四川久远国基科技有限公司 | A kind of network security situation awareness method for early warning and system |
| CN110445807A (en) * | 2019-08-23 | 2019-11-12 | 瑞森网安(福建)信息科技有限公司 | Network security situation sensing system and method |
| CN110567522A (en) * | 2019-09-06 | 2019-12-13 | 广州数知科技有限公司 | application method and system of sensor semaphore identification in time-space big data analysis |
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| CN111882179A (en) * | 2020-07-09 | 2020-11-03 | 福建奇点时空数字科技有限公司 | Network security situation awareness system platform based on data stream processing |
| CN112954674A (en) * | 2021-04-13 | 2021-06-11 | 江苏中虹瑞华信息科技有限公司 | Remote data security encryption method and system |
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| CN109406744A (en) * | 2018-12-04 | 2019-03-01 | 深圳朗昇贸易有限公司 | A kind of marine environment sensory perceptual system of real-time intelligent |
| CN109921933A (en) * | 2019-03-11 | 2019-06-21 | 北京天融信网络安全技术有限公司 | A kind of information processing method and Network Security Device |
| CN110213108A (en) * | 2019-06-11 | 2019-09-06 | 四川久远国基科技有限公司 | A kind of network security situation awareness method for early warning and system |
| CN110445807A (en) * | 2019-08-23 | 2019-11-12 | 瑞森网安(福建)信息科技有限公司 | Network security situation sensing system and method |
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| CN112954674A (en) * | 2021-04-13 | 2021-06-11 | 江苏中虹瑞华信息科技有限公司 | Remote data security encryption method and system |
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