CN103684864B - Communication network vulnerability analyzing system for large-scale area fault and working method of communication network vulnerability analyzing system - Google Patents

Communication network vulnerability analyzing system for large-scale area fault and working method of communication network vulnerability analyzing system Download PDF

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CN103684864B
CN103684864B CN201310675396.5A CN201310675396A CN103684864B CN 103684864 B CN103684864 B CN 103684864B CN 201310675396 A CN201310675396 A CN 201310675396A CN 103684864 B CN103684864 B CN 103684864B
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CN103684864A (en
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王晓亮
邓晨
陆桑璐
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Nanjing University
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Abstract

The invention discloses a communication network vulnerability analyzing system for a large-scale area fault and a working method of the communication network vulnerability analyzing system. By means of the network vulnerability analyzing system, the level of the effect to a communication network topology design and network cabling from natural disasters (such as earthquakes and water flood), man-made sabotages (such as purposeful EMP attack and fisher trawling) and other regional faults related to geographic positions can be assessed, and the statistical behavior characteristics including average fault link capacity, the end-to-end flow change property and other properties under the regional fault situation of the network are found. According to the network vulnerability analyzing system, the fault region affecting the network mostly can be positioned through the topological information of the physical network, and then the network protecting design is guided. The network vulnerability analyzing system provides a visual interface environment, and can definitely indicate the vulnerability of the system, help communication network designer and maintainer to plan ahead and build the network service with higher robustness.

Description

Communication network vulnerability analysis system for large-scale area fault and its work Method
Technical field
The present invention relates to network vulnerability analysis, especially analysis behavior under extensive area fault for the physical network topology Feature, positions the incipient fault regional location maximum to web influence simultaneously.
Background technology
Computer network has become as the Main Means of today's society communication.With people, the dependence of network is strengthened, use The requirement to network reliability for the family also more and more higher.On the other hand, due to the rapidly development of network itself, large area region event Barrier, such as natural disaster, the impact to network for the artificial destruction increasingly highlights, and its frequency and destructiveness are in rising trend, have become For affecting one of subject matter that can not ignore of network reliability.
Network vulnerability analysis can help designer and attendant's awareness network system under attack and failure condition Performance change degree, thus instruct us to the design upgrading of network system and operation maintenance management.Network general at present is crisp Weak property analysis and safeguard work relate generally to the logical topology of network, and just for a small amount of network link and node failure, lead to Cross observation in the case of the network equipment failure of limited quantity, the change of data traffic, position key equipment.
How work on hand effectively analyzes the impact to network performance for the extensive area fault under physical network topology, still There is not feasible solution.This has very strong geographical position dependency mainly due to large-scale area fault, burst Property and multiple faults feature.The position that fault occurs, shape and scope are all unknown, and the network equipment is affected by faults is also difficult to Prediction.Simply continue to use traditional analysis method in logic network, using deterministic area fault model, will exceedingly letter The vulnerability analysis changing network it is impossible to the key character of reflecting regional fault, thus leading to network recovery strategy fails or network Protected investment.Accordingly, it would be desirable to the communication network vulnerability that design is effectively directed to the large-scale area fault such as natural disaster is divided Analysis system.
Content of the invention
The present invention provides a kind of communication network vulnerability analysis system for large-scale area fault and its method of work, It passes through network vulnerability analysis system it can be estimated that communication network topology design and network layout are subject to natural disaster and artificial The influence degree of the related area fault in the geographical position such as destruction, finds that statistics behavior in the case of area fault for the network is special Levy, and position the fault zone maximum to this web influence using the topology information of physical network.
The invention provides a kind of communication network vulnerability analysis system for large-scale area fault, analysis is on a large scale Area fault to communication network affect and position the abort situation maximum to web influence it is characterised in that:This system includes
Area fault model, the physical network topology of simulation real world, topological structure includes link capacity, node and chain The geographical location information on road, simulates common area fault, such as earthquake, hurricane etc.;
Computation analysis module, calculates the analysis number that is interrupted of network link and capacity, end-to-end node between flow Change, probability and its meansigma methodss that end-to-end node is cut off to main path and backup path simultaneously;
GUI module, the parameter input of receiving area fault model, the such as selection of model, the setting and being sent to of variate-value Computation analysis module, the region that Calculation results are most fragile in network is marked out in visual mode.
Present invention also offers a kind of work side of the communication network vulnerability analysis system for large-scale area fault Method, it comprises the steps:
1)The physical network topology of simulation real world first builds area fault model, in this fault model, fault The network facilities in region can be destroyed with certain Probability p, and p is bigger, and the network representing in this region is more fragile, and is broken Bad probability can change with the difference of the area apart from disaster center distance and place disaster region;
2)Subdivision is carried out according to physical network topology to the two-dimentional geographic plane in fault model, forms a series of grids, Identical depending on the impact to the network equipment for the regional faults in each grid, then with each grid as defect center, referred to given Mark Δ is the standard weighing network performance, the shadow to network performance index when zoning fault occurs in each grid first Ring Δ n, then by the knowledge of geometric probability, using equation below calculating network performance indications,
Δ=∑n(area(n)/all area)Δn
Wherein area (n) represents the area of n-th grid, and all area represent the geographic area area of network design;
3)Form the standard volume of three measurement network vulnerabilities:
(1)The link capacity of disconnection, i.e. DLC:When area fault occurs, the link capacity meansigma methodss of disconnection.When the chain appearance of a street When measuring as unit value, represent the number of links of average disconnection;
(2)Point between reduce flow, i.e. PTR:Area fault occur when it is intended that node between data traffic subtract Few meansigma methodss;
(3)Point between disconnection probability, i.e. PDP:It is intended that operating path and protection between node pair when area fault occurs There is the probability of disconnection in path simultaneously.
4)The process to the maximum fault section of web influence for the positioning, specially:According to above-mentioned three measurements calculating The standard volume of network vulnerability;These standard volumes are sorted from big to small, the corresponding lattice set coming above constitutes The region of most fragile in network.
Step 1)Described area fault model includes simulating the concentric circular probability region fault model of earthquake, and simulation Hurricane, trawlnet damages the line segment failure probability model of optical cable, wherein:
The structure of described concentric circular probability region fault model is:
(1) m r is followed successively by by M radius, the concentric circular of m=1 ..., M is divided into M annulus, and the annulus at center is simultaneously It is round, each annulus is a uniform disk like probability region fault, wherein r is pitch;
(2) in m-th disk like concentric ring fault zone, length is that the probability that breaks down of link of arbitrarily short δ is qmδ, wherein qmRepresent the probability of malfunction in m-th region;
(3) because destructiveness reduces with the increase to source point distance, parameter q in annulus is passed by inner dullness outward Subtract, i.e. q1>q2>…>q;
Article (4) one, link is longer through the length of concentric circular probability region fault, and the probability being damaged is also bigger, if warp The linkage length crossing concentric circular probability region fault is l, and the Probability p that it breaks down is:
Especially, as q=0, p=0, representing does not have generation area fault;As q=+ ∞, p=1, it is degenerated to definitiveness mould Type;
The structure of described line segment probability region fault model is:
(1) network portion cut by line-like area fault will be completely destroyed;
(2) length 2r of line-like area fault is fixing, but direction has randomness;
(3) note linearity failure length be 2r, the distance away from link for its central point be x, link normal and linearity failure The angle being formed is α it is assumed that the direction of line segment probability region fault is equally distributed, then the Probability p that link is interrupted is
P=2 α/π=(2/ π) arccos (x/r)
Step 2)Detailed process be:
Assume that the network having E bar side is divided into N number of grid, its calculating process is as follows:
Step1:Using some grid as area fault center it is assumed that fault model and its parameter are by user setup Good, calculate the probability that each edge is affected by this fault, after the completion of all probability calculations, define the probability of malfunction matrix of N*E, It is set to failure_prob [] [], failure_prob [i] [j] represents with i-th grid as defect center, j-th strip side is broken Bad probability;
Step2:With each given network performance index Δ as evaluation criteria, in calculating with any one grid as fault The impact that the heart causes to network.
Step 4)Detailed process be:
(1) computational methods of DLC:Calculate the probability that the link in fault zone is interrupted first, then with this probability be Weight, calculates the weighted sum of link capacity.
(2) computational methods of PTR:Using Suurballe algorithm find point between all sides not repeatedly path set, Calculate the weighted sum of the link capacity of these path sets.
(3) computational methods of PDP:Using Suurballe algorithm find point between two sides the shortest not repeatedly Path, calculates the weighted sum of the link capacity of this two paths.
K bar side between described Suurballe algorithm is look for specifying at 2 points is not repeated and the minimum path of overall length The classic algorithm of collection.
To all grids, sort from big to small by DLC, PTR, PDP respectively, select front 0.1% grid as final knot Really, i.e. most fragile region in network.
The present invention has the advantages that:
The present invention passes through network vulnerability analysis system it can be estimated that communication network topology design and network layout are subject to nature The influence degree of the related area fault in the geographical position such as disaster and artificial destruction, finds network in the case of area fault Statistics behavior characteristicss, including mean failure rate link capacity, the performance such as changes in flow rate end to end.On this basis, this network is crisp Weak property analysis system utilizes the topology information of physical network, can position the fault zone maximum to this web influence, and then refer to Wire guide network design protection.Network vulnerability analysis system provides visual interface environments, can clearly indicate system Vulnerability, helps exploited in communication person and guardian to provide for a rainy day, and builds the higher network service of robustness.
Compared to the network vulnerability theory analysis based on graph theory, stress and strain model calculates broadly adaptability, Process more simply effective in the complex topology of real network;Compared to definitiveness area fault model, probability fault model is more preferable The simulation feature of physical damage, has a higher practicality.
Brief description:
Fig. 1 is physical network topology schematic diagram.
Fig. 2 is concentric circular probability region fault model figure during M=3.
Fig. 3 is line segment probability region fault model figure.
Fig. 4 is mesh generation schematic diagram.
Fig. 5 is grid and network vulnerability analysis system schematic.
Specific embodiment
1. system input
Fig. 1 represents that the input of network vulnerability analysis system is the physical network topology of real world, rather than network is patrolled Collect topology.This topological structure includes link capacity, the geographical position coordinates information of node and link.Additionally, analysis system is also Need the size of large area region fault and the probability parameter of input investigation.For example same for natural disasters such as simulation earthquakes Heart circular probability area fault model, data parameters include the unit link failure probability in zone radius and specified fault coverage, This information can be obtained by historical data.For simulation hurricane, the natural line segment probability region event with man power disaster such as trawlnet Barrier model, data parameters are the line segment length needing to investigate.
The standard volume that the present invention weighs network vulnerability has three:
(1). the link capacity (Disrupted Link Capacity, DLC) of disconnection:When area fault occurs, disconnection Link capacity meansigma methodss.When link capacity is for unit value, represent the number of links of average disconnection.
(2). point between reduce flow (Pairwise Traffic Reduction, PTR):Area fault occurs When it is intended that node between data traffic reduce meansigma methodss.
(3). point between disconnection probability (Pairwise Disconnection Probability, PDP):Region event When barrier occurs it is intended that between node pair operating path and Protection path there is the probability of disconnection simultaneously.
The invention mainly comprises three below ingredient:
a). area fault model
In order to more accurately simulate the extensive area fault in real world, the present invention devises two according to the example above Kind of probability region fault model -- concentric circular model and line segment model, to simulate earthquake respectively, flood, the natural disaster such as trawlnet and The impact to network for the artificial destruction.In probability fault model, the network facilities in disaster region can be broken with certain probability Bad, and destroyed probability can change with the difference of the area apart from disaster center distance and place disaster region.
Described concentric circular probability region fault model is as shown in Fig. 2 have following feature:
(a). m r, m=1 are followed successively by by M radius ..., the concentric circular of M is divided into M annulus(The annulus at center is simultaneously It is also round), each annulus is a uniform disk like probability region fault, and wherein r is pitch.
(b). in m-th disk like concentric ring fault zone, length is that the probability that breaks down of link of arbitrarily short δ is qmδ, wherein qmRepresent the probability of malfunction in m-th region.
(c). because destructiveness reduces with the increase to source point distance, parameter qm in annulus is by inner dull outward Successively decrease, i.e. q1>q2>…>qM.
(d). a link is longer through the length of concentric circular probability region fault, and the probability being damaged is also bigger.If It is l through the linkage length of concentric circular probability region fault, the Probability p that it breaks down is:
Especially, as q=0, p=0, representing does not have generation area fault;As q=+ ∞, p=1, it is degenerated to definitiveness mould Type.
Described line segment probability region fault model is as shown in figure 3, have following feature:
(a). the network portion cut by line-like area fault will be completely destroyed.
(b). length 2r of line-like area fault is fixing, but direction has randomness.
(c). note linearity failure length be 2r, the distance away from link for its central point be x, link normal and linearity failure The angle being formed is it is assumed that the direction of line segment probability region fault is equally distributed, then the Probability p that link is interrupted is
P=2 α/π=(2/ π) arccos (x/r)
b). the network performance mutation analysises under the fault model of specific region
Analyze the impact of fault and device geographical location except introducing geometric probability during analysis network vulnerability Outward, also use the mesh generation technological orientation weak section maximum to web influence, closer to realistically reflecting Disaster Event Impact to network.Be employed technical scheme comprise that:First the plane that network is located is divided into a series of lattices, works as grid When sufficiently small it is believed that in grid the impact to network performance for any point be the same.
By the impact to network for the mesh generation zoning fault.To each given network performance index Δ, this is Impact Δ n to network performance index when system zoning fault first occurs in each grid, then passes through geometric probability Knowledge, using equation below calculating network performance indications,
Δ=∑n(area(n)/all area)Δn
Wherein area (n) represents the area of n-th grid, and all area represent the geographic area area of network design.
To first index:The link capacity (DLC) of disconnection, calculates the failure probability of link in fault zone, so first Pass through afterwards to calculate the value of the expected value acquisition DLC of be possible to disconnection link capacity.For second index:Point between reduce Flow (PTR), first calculate specify node pair between maximum quantity side not duplicate paths.Node on these paths and link Constitute a sub-network of former network.When probability of happening area fault, former network node between minimizing data flow Amount expected value is exactly the PTR being led to due to link failure in sub-network.Trail protection is a kind of less cost of conventional cost The strategy of network reliability just can be improved, its thought is to set up both links between a pair of node, and one of them is main road Footpath, in addition one is backup path, it is possible to use Suurballe algorithm find node between primary link and auxiliary link.Pass through The probability that when zoning fault occurs, main path and backup path break down simultaneously, as put between disconnection probability (PDP).K bar side between described Suurballe algorithm is look for specifying at 2 points is not repeated and the minimum path set of overall length Classic algorithm.
c). positioning is to the maximum vulnerability fault zone of web influence
Assume that defect center occurs in the center of each subdivision network, calculate the corresponding performance weighing network vulnerability and refer to Mark.These standard volumes are sorted from big to small, comes above(As 0.1%)Corresponding lattice set constitutes in network Fragile region.
When the step-length of grid division is less, and when the scale of network is larger, corresponding amount of calculation can be very big.For this reason, this Invention employs Distributed Parallel Computing technology, by calculating generation area event in each mesh generation in multiple computing units Impact to network during barrier, then calculate the method quickening calculating process of meansigma methodss.
2. network vulnerability analysis system principle
Fig. 4 is network plane subdivision schematic diagram.Except introducing geometric probability analysis during analysis network vulnerability Outside the impact of fault and device geographical location, also use mesh generation technological orientation to the maximum weak section of web influence, Closer to realistically reflecting the impact to network for the Disaster Event.Be employed technical scheme comprise that:The plane first network being located It is divided into a series of lattices, when grid is sufficiently small it is believed that in grid, the impact to network performance for any point is one Sample.Then calculate with each grid as defect center, with given index Δ for weighing the standard of network performance, network is caused Impact.Assume that the network having E bar side is divided into N number of grid, its calculating process is as follows:
Step1:Using some grid as area fault center it is assumed that fault model and its parameter are by user setup Good.Calculate the probability that each edge is affected by this fault, after the completion of all probability calculations, define the probability of malfunction matrix of N*E, It is set to failure_prob [] [], failure_prob [i] [j] represents with i-th grid as defect center, j-th strip side is broken Bad probability.
Step2:With each given network performance index Δ as evaluation criteria, calculate with i-th ndex grid as fault The impact that center is caused to network.The computational methods of indexs of three kinds of measurement network vulnerabilities are respectively:
(1).DLC computational methods:Calculate the probability that the link in fault zone is interrupted first, then with this probability be Weight, calculates the weighted sum of link capacity;
(2).PTR computational methods:Using Suurballe algorithm find point between all sides not repeatedly path Collection, calculates the weighted sum of the link capacity of these path sets;
(3).PDP computational methods:Using Suurballe algorithm find point between two sides the shortest not repeatedly Path, calculates the weighted sum of the link capacity of this two paths.
Step3:To all grids, sort from big to small by DLC, PTR, PDP respectively.Select front 0.1% grid as Whole result, i.e. most fragile region in network.
When the step-length of grid division is less, and when the scale of network is larger, corresponding amount of calculation can be very big.However, removing Failure probability matrix failure_prob [] [] that the first step calculates needs to be used in the calculating process of each grid, the 2nd, the calculating of three steps is mutually incoherent, therefore adopts the method for parallel computation to accelerate calculating speed.Step2 is simply to tire out Plus process, Step3 is sequencer procedure, and two steps merge into a step parallel computation of Mapreduce, this Mapreduce calculating process Input be the failure probability matrix failure_prob that size is N*E, output is sorted key-value pair<dlc,Point>,< ptr,Point>,<pdp,Point>, wherein Point represents net center of a lattice.
3. network vulnerability analysis system composition
System is divided into computing module and two parts of GUI module, and GUI module is responsible for the input of receive user(Including model Selection, the setting of parameter etc.)And result is presented in visual mode.Computing module is parallel according to model and parameter Zoning probability of malfunction, calculating process is as described in 2.
Fig. 5 is network vulnerability analysis system schematic, and the unit wherein comprising have:
(1)Select the combobox of physical network;
(2)Select probability area fault model(Concentric circular model/line segment model)Radio button;
(3)Display network and the textview field of probability region fault parameter;
(4)Executive button(The analysis of execution given parameters);
(5)Select evaluation criteria(DLC/PTR/PDP)Radio button;
(6)In the case of the given defect center of display, evaluate in the case of and the entering of worst case lower network performance change situation Degree bar;
(7)Empty button(Prepare to analyze next time);
(8)All of node and side in display network, and represent source point and terminal with thicker round dot;
(9)Duplicate paths collection different colours do not indicate to be different from other paths on the side found out.
Finally, in figure dash area represents the incipient fault regional location maximum to particular network Index Influence.
The above is only the preferred embodiment of the present invention it is noted that ordinary skill people for the art For member, some improvement can also be made under the premise without departing from the principles of the invention, these improvement also should be regarded as the present invention's Protection domain.

Claims (6)

1. a kind of method of work of the communication network vulnerability analysis system for large-scale area fault it is characterised in that:Its Comprise the steps:
1) simulate the physical network topology of real world first and build area fault model, in this fault model, faulty section The network facilities in domain can be destroyed with certain Probability p, and p is bigger, and the network representing in this region is more fragile, and destroyed Probability can change with the difference of the area in and place disaster region far and near apart from disaster center;
2) subdivision is carried out according to physical network topology to the two-dimentional geographic plane in fault model, form a series of grids, depending on every In individual grid, the impact to the network equipment for the regional faults is identical, with each grid as defect center, with given index Δ for weighing apparatus The standard of amount network performance, the impact Δ n, Ran Houtong to network performance index when zoning fault occurs in each grid Cross the knowledge of geometric probability, using equation below calculating network performance indications,
Δ=∑n(area(n)/all area)Δn
Wherein area (n) represents the area of n-th grid, and all area represent the geographic area area of network design;
3) form the standard volume of three measurement network vulnerabilities:
(1) link capacity of disconnection, i.e. DLC:When area fault occurs, the link capacity meansigma methodss of disconnection;When link capacity is During unit value, represent the number of links of average disconnection;
(2) point between reduce flow, i.e. PTR:Area fault occur when it is intended that node between data traffic reduce Meansigma methodss;
(3) point between disconnection probability, i.e. PDP:It is intended that operating path and Protection path between node pair when area fault occurs There is the probability of disconnection simultaneously.
2. it is directed to the method for work of the communication network vulnerability analysis system of large-scale area fault as claimed in claim 1, It is characterized in that:The method also includes step 4) process to the maximum fault section of web influence for the positioning, specially:According to upper State the standard volume of the three measurement network vulnerabilities calculating;These standard volumes are sorted from big to small, comes correspondence above Lattice set constitute the region of most fragile in network.
3. it is directed to the work side of the communication network vulnerability analysis system of large-scale area fault as claimed in claim 1 or 2 Method it is characterised in that:Step 1) described in area fault model include simulate earthquake concentric circular probability region fault model, with And simulation hurricane, the line segment failure probability model of trawlnet infringement optical cable, wherein:The knot of described concentric circular probability region fault model Structure is:
(1) m r is followed successively by by M radius, the concentric circular of m=1 ..., M is divided into M annulus, and the annulus at center is also simultaneously Circle, each annulus is a uniform disk like probability region fault, and wherein r is pitch;
(2) in m-th disk like concentric ring fault zone, length is the probability that breaks down of link of arbitrarily short δ is qmδ, its Middle qmRepresent the probability of malfunction in m-th region;
(3) because destructiveness reduces, parameter q in annulus with the increase to source point distancemBy inner monotone decreasing outward, I.e. q1>q2>…>qm
Article (4) one, link is longer through the length of concentric circular probability region fault, and the probability being damaged is also bigger, if through same The linkage length of heart circular probability area fault is l, and the Probability p that it breaks down is:
p = 1 - e - &Sigma; m = 1 M q m l m
Especially, as q=0, p=0, representing does not have generation area fault;As q=+ ∞, p=1, it is degenerated to definitiveness mould Type;
The structure of described line segment failure probability model is:
(1) network portion cut by line-like area fault will be completely destroyed;
(2) length 2r of line-like area fault is fixing, but direction has randomness;
(3) length of note linearity failure is 2r, and the distance away from link for its central point is x, and link normal is formed with linearity failure Angle is α it is assumed that the direction of line segment probability region fault is equally distributed, then the Probability p that link is interrupted is
P=2 α/π=(2/ π) arccos (x/r).
4. it is directed to the work side of the communication network vulnerability analysis system of large-scale area fault as claimed in claim 1 or 2 Method is it is characterised in that step 2) detailed process be:
Assume that the network having E bar side is divided into N number of grid, its calculating process is as follows:
Step 1:Using some grid as area fault center it is assumed that fault model and its parameter are good by user setup, Calculate the probability that each edge is affected by this fault, after the completion of all probability calculations, define the probability of malfunction matrix of N*E, if For failure_prob [] [], with i-th grid as defect center, j-th strip side is destroyed for failure_prob [i] [j] expression Probability;
Step 2:With each given network performance index Δ as evaluation criteria, calculate with any one grid as defect center The impact that network is caused.
5. it is directed to the method for work of the communication network vulnerability analysis system of large-scale area fault as claimed in claim 2, It is characterized in that step 3) detailed process be:
(1) computational methods of DLC:Calculate the probability that the link in fault zone is interrupted first, then with this probability as weight, Calculate the weighted sum of link capacity;
(2) computational methods of PTR:Using Suurballe algorithm find point between all sides not repeatedly path set, calculate The weighted sum of the link capacity of these path sets;
(3) computational methods of PDP:Using Suurballe algorithm find point between two sides the shortest not repeatedly path, Calculate the weighted sum of the link capacity of this two paths;
K bar side between described Suurballe algorithm is look for specifying at 2 points is not repeated and overall length minimum path set Classic algorithm.
6. it is directed to the method for work of the communication network vulnerability analysis system of large-scale area fault as claimed in claim 5, It is characterized in that step 4) detailed process be:To all grids, sort from big to small by DLC, PTR, PDP respectively, before selecting 0.1% grid is as final result, i.e. most fragile region in network.
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