CN108429766B - Network safety situation analyzing and alarming system based on big data and WSN technology - Google Patents
Network safety situation analyzing and alarming system based on big data and WSN technology Download PDFInfo
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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
- H04L63/20—Network architectures or network communication protocols for network security for managing network security; network security policies in general
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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
- H04L41/06—Management of faults, events, alarms or notifications
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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
- H04L41/142—Network analysis or design using statistical or mathematical methods
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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
- H04L43/16—Threshold monitoring
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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 safety situation analyzing and alarming systems based on big data and WSN technology, it include: wireless sensor network subsystem, for obtaining network essential information from network by wireless sensor network and being transmitted to big data analysis early warning subsystem, network essential information includes warning information, the network vulnerability information, the network traffic information for describing network stabilization that network generates；Big data analysis early warning subsystem includes pretreatment unit, networks security situation assessment unit and Network Situation prewarning unit；Pretreatment unit obtains the network essential information of standardization format for pre-processing to network essential information；Networks security situation assessment unit is used for the network essential information using standardization, carries out quantitative analysis to the menace, fragility and stability of network, exports current network security situation value；Network Situation prewarning unit exports alarm signal in threshold range of the current network security situation value beyond setting.
Description
Technical field
The present invention relates to field of information security technology, and in particular to the network safety situation based on big data and WSN technology
Analyzing and alarming system.
Background technique
Existing network security situation sensing system has the disadvantage that
(1) lack the verifying of data validity: the data directly acquired from network may be to be missed by Network Security Device
Report generate, to such data carry out processing 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 weary analysis to 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 for stating network, lack it is more accurate, with the consistent quantitative analysis of international standard.
Summary of the invention
In view of the above-mentioned problems, the present invention provides the network safety situation analyzing and alarming system based on big data and WSN technology.
The purpose of the present invention is realized using following technical scheme:
Provide the network safety situation analyzing and alarming system based on big data and WSN technology, comprising:
Wireless sensor network subsystem, for obtaining network essential information simultaneously from network by wireless sensor network
Be transmitted to big data analysis early warning subsystem, network essential information include network generate warning information, network vulnerability information,
For describing the network traffic information of network stabilization；
Big data analysis early warning subsystem includes pretreatment unit, networks security situation assessment unit and Network Situation early warning
Unit；Pretreatment unit for establishing dictionary relevant to network essential information in its database, to wireless sensor network
The network essential information of subsystem transmission is for statistical analysis, and nonconformance is modified in removal repetition, error items, then will statistics
Data and data dictionary after analysis are associated analysis, obtain the network essential information of standardization format；Network safety situation
Assessment unit connects the pretreatment unit, for the network essential information using standardization, menace, fragility to network
Quantitative analysis is carried out with stability, and then realizes the analysis to current network safety situation, exports current network security situation
Value；Network Situation prewarning unit exports alarm signal in threshold range of the current network security situation value beyond setting.
Further, further includes: data storage subsystem connects the big data analysis early warning subsystem, for being arranged
The network essential information of standardization described in database purchase carries out the required data information of network safety situation analysis.
Preferably, the networks security situation assessment unit includes:
Menace Situation Assessment subelement, the warning information for being generated according to network determine the menace situation of network
Value, when the alarm number that set period of time network generates is greater than the alarm quantity threshold of setting, output menace situation value is
1, otherwise exporting menace situation value is 0；
Fragility Situation Assessment subelement, for the network vulnerability information is related to general loophole points-scoring system
Connection, obtains the fragility situation value of network, when the number of loophole in network is greater than the loophole quantity threshold of setting, or each leakage
When score value summation of the hole in general loophole points-scoring system is more than the score value upper limit of setting, the fragility situation value of network is exported
It is 1, the fragility situation value for otherwise exporting network is 0；
Stability Situation Assessment subelement, for obtaining the stability situation value of network based on the network traffic information,
When the network flow of set period of time is greater than the flow rate upper limit of setting, output stability situation value is 1, otherwise output stability
Situation value is 0；
Situation total evaluation subelement connects the menace Situation Assessment subelement, fragility Situation Assessment
Unit, the stability Situation Assessment subelement are used for according to menace situation value, fragility situation value, stability situation value,
Obtain the general safety situation value of network.
Preferably, the general safety situation value of network is menace situation value, fragility situation value and stability situation value
The sum of.
The invention has the benefit that obtaining network essential information, intelligent quick, by pre- by wireless sensor network
Processing unit standardizes the network essential information that wireless sensor network obtains, and is commented by the way that network safety situation is arranged
Estimate unit realize Cyberthreat information and network topological information be associated with and the pass of menace information and vulnerability information
The problem of connection overcomes existing Network Situation Awareness System and lacks Validation of Data, data correlation and quantitative analysis, from
And make network security situation awareness more accurate.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the 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 block diagram of the big data analysis early warning subsystem of an illustrative embodiment of the invention.
Appended drawing reference:
Wireless sensor network subsystem 1, big data analysis early warning subsystem 2, data storage subsystem 3, pretreatment are single
First 10, networks security situation assessment unit 20, Network Situation prewarning unit 30.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, Fig. 2, the network safety situation analysis and early warning system based on big data and WSN technology is present embodiments provided
System, comprising:
Wireless sensor network subsystem 1, for obtaining network essential information from network by wireless sensor network
And it is transmitted to big data analysis early warning subsystem 2, network essential information includes warning information, the network vulnerability letter that network generates
Breath, the network traffic information for describing network stabilization；
Big data analysis early warning subsystem 2 includes pretreatment unit 10, networks security situation assessment unit 20 and network state
Gesture prewarning unit 30；Pretreatment unit 10 for establishing dictionary relevant to network essential information in its database, to wireless
The network essential information that sensor network Network Subsystem 1 transmits is for statistical analysis, and nonconformance is modified in removal repetition, error items,
Then the data after statistical analysis are associated analysis with data dictionary, obtain the network essential information of standardization format；Net
Network safety situation evaluation unit 20 connects the pretreatment unit 10, for the network essential information using standardization, to network
Menace, fragility and stability carry out quantitative analysis, and then realize the analysis to current network safety situation, output is worked as
Preceding network safety situation value；Network Situation prewarning unit 30 is defeated in threshold range of the current network security situation value beyond setting
Alarm signal out.
Further, network safety situation analyzing and alarming system further include: data storage subsystem 3 connects the big number
According to analysis and early warning subsystem 2, for the network essential information of standardization described in database purchase to be arranged, carries out network safety situation
Data information needed for analysis.
In one embodiment, the networks security situation assessment unit 20 includes:
Menace Situation Assessment subelement, the warning information for being generated according to network determine the menace situation of network
Value, when the alarm number that set period of time network generates is greater than the alarm quantity threshold of setting, output menace situation value is
1, otherwise exporting menace situation value is 0；
Fragility Situation Assessment subelement, for the network vulnerability information is related to general loophole points-scoring system
Connection, obtains the fragility situation value of network, when the number of loophole in network is greater than the loophole quantity threshold of setting, or each leakage
When score value summation of the hole in general loophole points-scoring system is more than the score value upper limit of setting, the fragility situation value of network is exported
It is 1, the fragility situation value for otherwise exporting network is 0；
Stability Situation Assessment subelement, for obtaining the stability situation value of network based on the network traffic information,
When the network flow of set period of time is greater than the flow rate upper limit of setting, output stability situation value is 1, otherwise output stability
Situation value is 0；
Situation total evaluation subelement connects the menace Situation Assessment subelement, fragility Situation Assessment
Unit, the stability Situation Assessment subelement are used for according to menace situation value, fragility situation value, stability situation value,
Obtain the general safety situation value of network.
In one embodiment, the general safety situation value of network is menace situation value, fragility situation value and stabilization
The sum of condition gesture value.In another embodiment, the general safety situation value of network is menace situation value, fragility situation value
With the weighted sum of stability situation value, wherein with menace situation value, fragility situation value, stability situation value is corresponding weighs
Weight values are specified by expert.
The above embodiment of the present invention obtains network essential information, intelligent quick, by locating in advance by wireless sensor network
The network essential information that reason unit 10 obtains wireless sensor network is standardized, and is commented by the way that network safety situation is arranged
Estimate unit 20 realize Cyberthreat information and network topological information be associated with and menace information and vulnerability information
The problem of association overcomes existing Network Situation Awareness System and lacks Validation of Data, data correlation and quantitative analysis,
So that network security situation awareness is more accurate.
In one embodiment, it is basic to send network collected to base station by way of multi-hop transmission for sensor node
Information specifically includes:
(1) when netinit, base station constructs message to all the sensors node broadcasts neighboring node list, receives the neighbour
After occupying node listing building message, sensor node obtains information of neighbor nodes by information exchange, and constructs neighbor node column
Table；When initial, sensor node randomly selects a neighbor node in its multiple neighbor node according to neighboring node list and makees
For relay node, the network essential information of acquisition is sent to relay node, to forward network base by multiple relay nodes
The mode of this information sends network essential information collected to base station；
(2) after a period T, sensor node obtains its neighbor node by the information exchange with neighbor node
It is helped to forward the total number of the number of network essential information packet and neighbor node forwarding network essential information packet in period T
Feedback information, during next period T, sensor node is calculated according to feedback information every a time interval Δ t
Its degree of belief to each neighbor node；
(3) sensor node divides reliability rating to each neighbor node according to current degree of belief, and neighbor node is divided
For normal node, malicious node and selfish node three classes, and one is selected as relay node, by network base from normal node
This packets is to the relay node.
Wherein, the calculation formula of degree of belief is set are as follows:
In formula, Gij(T+ Δ t) indicate sensor node i in T+ time Δt to the degree of belief of its j-th of neighbor node,bij(T) sensor node i is helped to forward network essential information packet in period T for j-th of neighbor node
Number, Bj(T) total number of network essential information packet, S are forwarded in period T for j-th of neighbor nodeijFor sensing
The distance between device node i and its j-th of neighbor node, SjoDistance for j-th of neighbor node to base station, SilTo pass
The distance between sensor node i and its first of neighbor node, SloDistance for first of neighbor node to base station, hiTo pass
The neighbor node number of sensor node i, e-pΔtFor degree of belief decay factor, and p ∈ (0,0.1], d, a are all weight coefficient, and full
0 < d, a < 1 of foot.
The present embodiment sets the routing forwarding mechanism that sensor node sends network essential information collected to base station,
In the routing mechanism, the strategy for dividing reliability rating according to degree of belief to each neighbor node is innovatively proposed, and innovative
The distance between the case where ground sets the calculation formula of degree of belief, and the calculation formula is according to node for data forwarding packet, node feelings
Condition judges degree of belief of the neighbor node relative to sensor node, and considers since the time elapses and trust the feelings of decaying
Condition has certain robustness；The high sensor node of degree of belief is selected (i.e. just with sensor node that base station is multi-hop distance
It Chang Jiedian) forwards network essential information packet, improves the reliability of network essential information transmission, ensure that communication is stablized, for it
Good data basis is established in network safety situation analysis and early warning afterwards.
Wherein, every next period T, sensor node reacquire feedback information, and according to feedback information every
One time interval Δ t calculates its degree of belief to each neighbor node, so that sensor node divides trust etc. to neighbor node
The process of grade is dynamically, to ensure that the degree of belief of calculating can more accurately measure the state and transfer capability of neighbor node.
Wherein, concrete mode neighbor node divided are as follows: critical value q is trusted in setting first1, second trust critical value q2,
For any neighbor node j of sensor node i, work as Gij(T+Δt)∈(0,q1) when, neighbor node j is divided into malice and is saved
Point, works as Gij(T+Δt)∈[q1,q2) when, neighbor node j is divided into selfish node, works as Gij(T+Δt)∈[q2, 1) when, it will
Neighbor node j is divided into normal node.
First trusts critical value q1It is the critical value of non-malicious node and malicious node, sentences if it is, will affect
The sensitivity of disconnected malicious node, if setting is excessively high, it will some non-malicious nodes are excluded except data transfer path, into
And reduce the efficiency of routing.In one embodiment, critical value q is trusted in setting first according to the following formula1, second trust it is critical
Value q2:
In formula, hiFor the neighbor node number of sensor node i, G0For the initial trust degree of neighbor node, G0=0.5.
The present embodiment proposes the first trust critical value q1, second trust critical value q2Setting formula so that trust it is critical
Value setting can according to the variation of degree of belief dynamic change, so as to preferably according to degree of belief carry out sensor node
Classification, improve and judge the sensitivity of malicious node, improve the efficiency of routing, guarantee network security the real-time of Study on Trend early warning
Property.
In one embodiment, for there are the relay nodes of multiple network essential information packets to be forwarded, according to net
The descending sequence of the priority of network essential information packet carries out the forwarding of network essential information packet, wherein network essential information
The calculation formula of the priority of packet are as follows:
In formula,Show the priority of the μ network essential information packets to be forwarded of relay node j,For institute
The network essential information quantity of the μ network essential information packets to be forwarded is stated,ν for relay node j will forward
Network essential information packet network essential information quantity, i-Xj(μ) indicates to send the μ to relay node j to be forwarded
The sensor node of network essential information packet,Relay node j is to sensor node i-XjThe degree of belief of (μ), i-Xj(ν)
Indicate the sensor node that the ν network essential information packets to be forwarded are sent to relay node j,For relaying section
Point j is to sensor node i-XjThe degree of belief of (ν), BjFor the relay node j network essential information packet quantity to be forwarded, y1、y2For
The weight coefficient of setting and meet y1+y2=1.
The present embodiment innovatively sets the calculation formula of network essential information packet forwarding priority, relay node according to
The sequence of calculated priority forwards network essential information packet, and it is high and account for that cache big network basic to advantageously allow degree of belief
Packet is preferentially forwarded, and improves the efficiency of cache management, reduces the congestion ratio of relay node, improves network essential information
The speed of transmission, to improve the operational efficiency of network safety situation analyzing and alarming system on the whole.
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 explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered
Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention
Matter and range.
Claims (6)
1. the network safety situation analyzing and alarming system based on big data and WSN technology, characterized in that include:
Wireless sensor network subsystem, for obtaining network essential information from network by wireless sensor network and transmitting
To big data analysis early warning subsystem, network essential information includes the warning information of network generation, network vulnerability information, is used for
The network traffic information of network stabilization is described；
Big data analysis early warning subsystem includes pretreatment unit, networks security situation assessment unit and Network Situation early warning list
Member；Pretreatment unit for establishing dictionary relevant to network essential information in its database, to wireless sensor network
The network essential information of system transmission is for statistical analysis, and removal repetition, error items modify nonconformance, then by statistical
Data and data dictionary after analysis are associated analysis, obtain the network essential information of standardization format；Network safety situation is commented
Estimate unit and connect the pretreatment unit, for the network essential information using standardization, to the menace of network, fragility and
Stability carries out quantitative analysis, and then realizes the analysis to current network safety situation, exports current network security situation value；
Network Situation prewarning unit exports alarm signal in threshold range of the current network security situation value beyond setting；
Sensor node sends network essential information collected to base station by way of multi-hop transmission, specifically includes:
(1) when netinit, base station constructs message to all the sensors node broadcasts neighboring node list, receives neighbours section
After point list constructs message, sensor node obtains information of neighbor nodes by information exchange, and constructs neighboring node list；Just
When the beginning, sensor node randomly selects a neighbor node according to neighboring node list as relaying in its multiple neighbor node
The network essential information of acquisition is sent to relay node by node, to forward network essential information by multiple relay nodes
Mode send network essential information collected to base station；
(2) after a period T, sensor node by the information exchange with neighbor node, obtain its neighbor node when
Between in section T side its forward network essential information packet number and neighbor node forwarding network essential information packet total number it is anti-
Feedforward information, during next period T, it is right that sensor node according to feedback information calculates its every a time interval Δ t
The degree of belief of each neighbor node；
(3) sensor node divides reliability rating to each neighbor node according to current degree of belief, and neighbor node division is positive
Chang Jiedian, malicious node and selfish node three classes, and one is selected as relay node from normal node, network is believed substantially
Breath packet is sent to the relay node.
2. the network safety situation analyzing and alarming system according to claim 1 based on big data and WSN technology, feature
It is, further includes:
Data storage subsystem connects the big data analysis early warning subsystem, for standardization described in database purchase to be arranged
Network essential information, carry out network safety situation analysis needed for data information.
3. the network safety situation analyzing and alarming system according to claim 1 based on big data and WSN technology, feature
It is that the networks security situation assessment unit includes:
Menace Situation Assessment subelement, the warning information for being generated according to network determine the menace situation value of network, when
When the alarm number that set period of time network generates is greater than the alarm quantity threshold of setting, output menace situation value is 1, otherwise
Exporting menace situation value is 0；
Fragility Situation Assessment subelement is obtained for the network vulnerability information is associated with general loophole points-scoring system
The fragility situation value for taking network, when the number of loophole in network is greater than the loophole quantity threshold of setting or each loophole exists
When score value summation in general loophole points-scoring system is more than the score value upper limit of setting, the fragility situation value for exporting network is 1,
Otherwise the fragility situation value for exporting network is 0；
Stability Situation Assessment subelement, for obtaining the stability situation value of network based on the network traffic information, when setting
When the network flow for section of fixing time is greater than the flow rate upper limit of setting, output stability situation value is 1, otherwise output stability situation
Value is 0；
Situation total evaluation subelement, connect the menace Situation Assessment subelement, the fragility Situation Assessment subelement,
The stability Situation Assessment subelement, for obtaining according to menace situation value, fragility situation value, stability situation value
The general safety situation value of network.
4. the network safety situation analyzing and alarming system according to claim 3 based on big data and WSN technology, feature
It is that the general safety situation value of network is the sum of menace situation value, fragility situation value and stability situation value.
5. the network safety situation analyzing and alarming system according to claim 1 based on big data and WSN technology, feature
It is the concrete mode divided to neighbor node are as follows: critical value q is trusted in setting first1, second trust critical value q2, for sensor
Any neighbor node j of node i, works as Gij(T+Δt)∈(0,q1) when, neighbor node j is divided into malicious node, works as Gij(T+
Δt)∈[q1,q2) when, neighbor node j is divided into selfish node, works as Gij(T+Δt)∈[q2, 1) when, neighbor node j is drawn
It is divided into normal node；Critical value q is trusted in setting first according to the following formula1, second trust critical value q2:
In formula, Gij(T+ Δ t) indicates sensor node i in T+ time Δt to the degree of belief of its j-th of neighbor node, hiTo pass
The neighbor node number of sensor node i, G0For the initial trust degree of neighbor node, G0=0.5.
6. the network safety situation analyzing and alarming system according to claim 5 based on big data and WSN technology, feature
It is, for there are the relay nodes of multiple network essential information packets to be forwarded, according to the priority of network essential information packet
Descending sequence carries out the forwarding of network essential information packet, wherein the calculation formula of the priority of network essential information packet
Are as follows:
In formula,Indicate the priority of the μ network essential information packets to be forwarded of relay node j,It is described
The network essential information quantity of the μ network essential information packets to be forwarded,For being forwarded for v-th for relay node j
The network essential information quantity of network essential information packet, i-Xj(μ) indicates to send the μ nets to be forwarded to relay node j
The sensor node of network essential information packet,It is relay node j to sensor node i-XjThe degree of belief of (μ), i-Xj(ν)
Indicate the sensor node that the ν network essential information packets to be forwarded are sent to relay node j,For relay node
J is to sensor node i-XjThe degree of belief of (ν), BjFor the relay node j network essential information packet quantity to be forwarded, y1、y2To set
Fixed weight coefficient and meet y1+y2=1.
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| CN109212139A (en) * | 2018-10-26 | 2019-01-15 | 深圳美特优科技有限公司 | Compartmentalization air pollution situation intelligent monitoring and controlling device |
| CN109246249B (en) * | 2018-11-02 | 2019-12-24 | 北京康爱营养医学研究院 | Human health data sharing system based on block chain |
| CN109357779A (en) * | 2018-11-02 | 2019-02-19 | 东莞幻鸟新材料有限公司 | A kind of motor temperature monitoring system based on wireless sensor network |
| CN109495557A (en) * | 2018-11-02 | 2019-03-19 | 广州益牛科技有限公司 | Arch dam quality intelligent real-time monitoring system |
| CN109787841A (en) * | 2019-03-11 | 2019-05-21 | 苏州宏裕千智能设备科技有限公司 | Network performance evaluation method and system |
| CN112073355A (en) * | 2019-05-25 | 2020-12-11 | 福建雷盾信息安全有限公司 | Vulnerability analysis method based on network flow |
| CN110460576A (en) * | 2019-07-11 | 2019-11-15 | 珠海市鸿瑞信息技术股份有限公司 | A kind of multifunctional network Security Situation Awareness Systems |
| CN113098827B (en) * | 2019-12-23 | 2023-06-16 | 中国移动通信集团辽宁有限公司 | Network security early warning method and device based on situation awareness |
| CN112819336B (en) * | 2021-02-03 | 2023-12-15 | 国家电网有限公司 | Quantification method and system based on network threat of power monitoring system |
| CN113949554B (en) * | 2021-10-13 | 2024-02-02 | 东南大学 | High-speed transmission method for global situation awareness data of distributed network |
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| CN102340485B (en) * | 2010-07-19 | 2015-01-21 | 中国科学院计算技术研究所 | Network security situation awareness system and method based on information correlation |
| US20130298254A1 (en) * | 2010-10-26 | 2013-11-07 | Matthew Richard Thomas Hall | Methods and systems for detecting suspected data leakage using traffic samples |
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